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Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Hands-On Product Manager — AI-Native Recruiting Platform (HireHQ)
Build the AI operating system for recruiting.
HireHQ is building the next generation AI-native recruiting platform — one that eliminates manual recruiter workflows and replaces them with intelligent automation, AI copilots, and decision intelligence.
Traditional ATS platforms were built for record keeping.
HireHQ is building a recruiting operating system that helps companies find, evaluate, and hire the best talent faster.
We are looking for a highly hands-on Product Manager who can help design and ship this future.
This is not a traditional PM role. You won’t just write tickets and manage roadmaps.
You will:
- Prototype product ideas yourself
- Use AI tools to rapidly build concepts
- Work directly with engineers
- Drive automation across recruiting workflows
- Ship AI-native features quickly
If you like building products at the intersection of AI, automation, and recruiting, you’ll thrive here.
What You'll Work On
You’ll help build core capabilities of the HireHQ recruiting platform, including:
AI Candidate Discovery
- AI-powered candidate search
- Intelligent candidate matching
- Automated candidate enrichment
- Talent graph and candidate insights
AI Screening & Evaluation
- Resume and profile understanding
- AI candidate scoring and ranking
- Interview intelligence and summarization
- Automated screening workflows
Recruiter Copilots
- AI recruiter assistants
- Automated outreach generation
- Pipeline prioritization
- Smart next-action recommendations
Candidate Experience
- AI-powered communication
- Automated follow-ups
- Interview scheduling automation
- Candidate journey insights
Recruiting Automation
- Workflow orchestration across the hiring pipeline
- Intelligent routing and task automation
- AI-driven pipeline management
- Recruiter productivity tools
Our goal is simple:
Reduce manual recruiting work by 80% while improving hiring outcomes.
What You'll Actually Do
You will operate like a product builder.
Ship Products
- Own product areas end-to-end
- Work directly with engineers to design solutions
- Move from idea → prototype → shipped feature quickly
Prototype With AI
You’ll actively use tools like:
- Cursor
- GitHub Copilot
- Claude
- ChatGPT
- Figma
to rapidly create:
- product mockups
- workflows
- prototypes
- PRDs
- user stories
- experimentation plans
We expect PMs to use AI as a force multiplier, not just write docs.
Design AI-Native Workflows
You'll help design product systems that use:
- LLMs
- semantic search
- embeddings
- candidate matching
- summarization
- automation engines
to eliminate manual recruiting work.
Drive Automation
You will constantly ask:
"Why is a human doing this?"
Then build systems that automate it.
Work Extremely Closely With Engineering
You will collaborate daily with engineers to:
- shape product architecture
- refine technical tradeoffs
- ship features quickly
- iterate with real customer feedback
What We're Looking For
Experience
- 5+ years in product management
- Experience building recruiting or HR tech products
Examples include:
- Applicant Tracking Systems (ATS)
- Recruiting CRM platforms
- Candidate engagement tools
- Talent sourcing platforms
- Interview platforms
- Talent intelligence platforms
You deeply understand how recruiting actually works.
AI Product Thinking
You’ve helped build or design AI-enabled product capabilities, such as:
- candidate matching
- screening automation
- workflow automation
- recommendation systems
- AI copilots
- search and ranking systems
Builder Mindset
You like creating things, not just planning them.
You are comfortable:
- prototyping ideas
- creating workflows
- building product concepts independently
- using AI tools to accelerate execution
Comfort With Ambiguity
This is a startup environment.
You should enjoy:
- fast iteration
- unclear problems
- ownership
- shipping quickly
Strong Candidates Often
- Previously worked at HR tech or recruiting tech companies
- Have built ATS or recruiting workflow products
- Use AI tools daily for product development
- Think about automation and workflow intelligence
- Care deeply about shipping useful products quickly
What Success Looks Like
Within your first 3 months:
- Recruiters using HireHQ spend dramatically less time on manual tasks
- AI features automate key recruiting workflows
- Customers rely on AI insights to prioritize candidates
- Recruiters move from administrative work → strategic hiring
Why This Role Is Different
Most recruiting software was designed 15–20 years ago.
HireHQ is rebuilding recruiting software from the ground up using:
- AI agents
- workflow automation
- intelligent candidate matching
- recruiter copilots
This role is an opportunity to help build the AI operating system for hiring.
Director of AI
Location: Chicago, IL (Remote Eligible – must be US based)
Salary: $250,000 – 280,000 base + bonus
We’re partnering with a global education technology company undergoing a major transformation from a traditional publisher into a data and AI driven digital learning platform. The organization is investing heavily in AI and advanced data capabilities to deliver personalized learning experiences at global scale.
They are hiring a Director of AI to lead a team of AI researchers and data scientists responsible for developing and deploying advanced machine learning and Generative AI solutions across the enterprise.
The Role:
This is a highly strategic role that combines technical leadership, team management, and hands-on architectural oversight. The Director of AI will help define the long-term AI roadmap while working closely with product, engineering, and business stakeholders to bring production AI systems to life.
What you’ll do:
- Lead and grow a team of AI researchers and data scientists, providing technical mentorship and career development
- Define and execute the AI strategy and roadmap, with a strong focus on Generative AI capabilities
- Partner with product, engineering, and business teams to identify high-impact AI opportunities
- Oversee the design, development, and deployment of production-grade AI and ML systems
- Translate complex technical work into clear insights for both technical and executive stakeholders
- Manage project timelines, priorities, and team resources to ensure successful delivery of AI initiatives
What They’re Looking For
- PhD in Artificial Intelligence, Data Science, Computer Science, or a related technical field
- 8+ years of experience in AI, machine learning, or data science
- Proven experience leading teams of AI researchers or data scientists
- Deep expertise in machine learning, AI systems, and Generative AI technologies
- Strong communication skills with the ability to present technical concepts to senior leadership
- Experience collaborating cross-functionally with product, engineering, and business teams
Nice to Have
- Experience deploying Generative AI solutions in production environments
- Experience working in large-scale technology or digital product organizations
- Exposure to education technology or learning platforms
This role offers the opportunity to shape the AI strategy for a global platform impacting millions of learners worldwide, while leading a highly technical team working on cutting-edge machine learning systems.
Generative AI Engineer/Agentic Engineer
You bring AI to life - one agent at a time. At BWE, we rely on you to build smart, adaptive systems that act on behalf of our teams, streamlining workflows and amplifying impact. As an Agentic Engineer, you turn complex business tasks into intelligent, automated solutions that drive efficiency across the enterprise. Your work helps us scale AI with confidence, creativity, and control.
Responsibilities:
- Design, build, and optimize autonomous or semi-autonomous AI workflows (agentic systems) using Microsoft Copilot, Power Automate, Copilot Studio, and third-party AI platforms.
- Translate complex business tasks into orchestrated, multi-step AI workflows that can act with minimal user input while maintaining accuracy and compliance standards.
- Develop and iterate intelligent assistants, copilots, and AI agents to automate business processes across origination, closing, servicing, and corporate functions.
- Collaborate with Business Partners and business units to test, refine, and scale agentic tools that drive measurable efficiency improvements and user adoption.
- Lead implementation of BWE's Scale Agentic AI initiative by identifying high-impact automation opportunities and deploying production-ready AI agents.
- Partner with AIOps Engineer to ensure agentic systems integrate properly with monitoring, governance, and optimization frameworks.
- Stay ahead of emerging agentic design patterns, orchestration technologies, and best practices while bringing forward innovative solutions to business challenges.
- Create reusable agentic templates and workflow patterns that enable citizen developers to build AI-powered automation within governance frameworks.
- Implement security and compliance controls for agentic systems ensuring adherence to financial services regulations and data privacy requirements.
- Research and experiment with innovative agentic AI technologies and platforms to enhance BWE's automation capabilities.
- Provide training and support to business users adopting agentic tools and automation workflows.
- Document agentic system architectures, decision logic, and operational procedures for knowledge transfer and maintenance.
Near-Term Deliverables:
- Build and deploy at least 3-5 production agentic systems that demonstrate significant business impact and operational efficiency gains.
- Establish agentic AI development framework including design patterns, testing methodologies, and deployment standards.
- Create a comprehensive library of reusable agentic components and workflow templates that accelerate automation deployment across business functions.
- Partner with Business Partners to identify and prioritize high-impact opportunities for agentic AI implementation with detailed business case analysis.
- Develop agentic system monitoring and optimization practices ensuring reliable performance, accuracy, and cost efficiency.
- Research and recommend emerging agentic AI platforms and technologies for potential adoption with hands-on evaluation and implementation guidance.
- Create citizen developer enablement materials including agentic workflow templates, training resources, and best practice guidelines.
- Establish agentic AI governance practices including approval workflows, risk assessment, and compliance validation procedures.
- Complete advanced training in agentic AI, workflow orchestration, or emerging automation technologies relevant to enterprise applications.
- Contribute to BWE's competitive advantage by pioneering innovative agentic use cases and automation strategies.
Minimum Qualifications:
- 5+ years of experience building AI-driven workflows, intelligent automation, or low-code/no-code solutions in enterprise environments.
- Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps), Microsoft Copilot Studio, and Large Language Model (LLM) integration.
- Strong grasp of prompt engineering, conversation design, logic flows, and business process optimization techniques.
- Experience with API integration, data transformation, and system connectivity for workflow automation.
- Knowledge of agentic AI concepts including multi-step reasoning, tool usage, and autonomous decision-making systems.
- Understanding of business process design, user experience principles, and change management for automation adoption.
- Bachelor's degree in Computer Science, Engineering, Business Technology, or related field, or equivalent work experience.
- Creative, fast-moving builder with prototyping mindset and deep understanding of user needs and business workflows.
Preferred Qualifications:
- Experience with advanced agentic AI platforms and orchestration tools beyond Microsoft ecosystem.
- Knowledge of machine learning, natural language processing, and conversational AI development.
- Familiarity with enterprise integration patterns, API management, and cloud-native application development.
- Experience in CRE, financial services, or regulated industries with complex compliance and audit requirements.
- Understanding of AI governance, responsible AI deployment, and risk management for autonomous systems.
- Previous experience leading automation initiatives or digital transformation projects.
- Knowledge of emerging technologies including multi-modal AI, autonomous agents, and AI orchestration platforms.
AI & Business Systems Manager
Christopher Homes, a nationally acclaimed luxury residential developer and home builder, has been creating Nevada’s finest neighborhoods since 1981. Within four decades, we have developed over 2,000 homes with a total value of over $1 Billion.
Our experience and reputation for developing luxury residential neighborhoods is unmatched. Of note, Christopher Homes has been awarded over 150 national and local awards for design excellence, which include: 19 Home of the Year awards, 7 Community of The Year awards, and recognized as the Homebuilder of the Year by the National Association of Homebuilders (NAHB), and numerous other awards.
Our Purpose
Enhancing lives by creating innovative homes and communities that inspire and reflect the unique interests of our residents. How we do anything is how we do everything. We are creators. The foundation of our success is rooted in our culture and our most valuable resource is our people. We are a diverse group made up of smart, creative, and dedicated people that are passionate about transforming the modern living experience.
Position Overview
The AI & Business Systems Manager is a senior, hands-on role responsible for designing, governing, and operationalizing artificial intelligence across Christopher Homes’ real estate development and luxury homebuilding platform. The manager will report to our CFO. This role requires deep, proven experience in real estate development and residential construction combined with advanced applied AI, data, and enterprise systems expertise.
The manager can work on-site or have a hybrid schedule.
This individual will lead the transformation of fragmented data and disconnected systems into a clean, structured, AI-ready ecosystem that improves efficiency, reduces costs, enhances forecasting, and elevates the customer experience. This is not a research role—this position focuses on practical, secure, ROI-driven AI embedded directly into daily workflows.
This is a full-time, individual contributor role with enterprise-wide responsibility and visibility.
Key Responsibilities
AI STRATEGY & IMPLEMENTATION (PRIMARY FOCUS)
· Design and execute an enterprise AI roadmap aligned with real estate development and homebuilding workflows
· Embed AI directly into core systems including Procore, ERP, Buildtopia, HubSpot, and Microsoft platforms
· Identify and deploy AI use cases for:
– Cost control and variance detection
– Schedule and cycle-time optimization
– Purchasing and vendor analysis
– Warranty trend prediction and root-cause analysis
– Marketing performance and lead intelligence
· Automate repetitive, manual, and error-prone processes using AI and intelligent workflows
· Ensure all AI solutions are secure, compliant, and aligned with data privacy best practices
DATA ARCHITECTURE, CLEANUP & GOVERNANCE
· Assess, clean, normalize, and structure data across all business systems
· Establish data standards, naming conventions, and governance policies
· Eliminate duplication, silos, and inconsistent data definitions
· Ensure data integrity to support reliable AI-driven insights and decision-making
· Prepare data architecture to support future scalability and AI maturity
REAL ESTATE DEVELOPMENT & CONSTRUCTION SYSTEMS LEADERSHIP
Serve as the internal expert on how AI supports:
– Land development
– Vertical construction
-- Purchasing and contracts
– Design center operations
– Warranty and post-close service
· Deeply understand how data flows through real estate development and homebuilding lifecycles
· Optimize system usage to reflect how the business actually operates—not generic software assumptions
· Partner with vendors, consultants, and software providers during system enhancements or ERP transitions
BUSINESS PARTNERSHIP & CHANGE MANAGEMENT
· Translate real estate development and construction challenges into AI-enabled solutions
· Partner closely with executive leadership and department heads
· Educate teams on AI tools, best practices, and responsible usage
· Adoption of AI-enabled workflows across the organization
REPORTING, FORECASTING & DECISION INTELLIGENCE
· Build AI-powered dashboards, reports, and forecasting tools
· Improve visibility into costs, schedules, risks, and performance
· Enable leadership to make faster, more accurate, data-driven decisions
REQUIRED QUALIFICATIONS
· 8+ years of experience in real estate development, residential construction, or homebuilding environments
· Demonstrated, hands-on experience applying AI to real business systems
· Deep understanding of development and construction workflows, terminology, and financial drivers
· Proven ability to organize, clean, and govern complex operational and financial data
· Experience with enterprise systems such as:
– Procore
– ERP systems (Sage 100 Contractor or similar)
– Buildtopia (Purchasing, Design Center, Construction and Warranty)
– CRM & Marketing platforms
– Microsoft ecosystem (including Copilot)
· Strong understanding of data security, privacy, and compliance in business environments
· Ability to operate independently and drive outcomes without direct supervision
STRONGLY PREFERRED
· Luxury single-family or for-rent residential development experience
· Experience leading ERP transitions or system integrations
· Applied knowledge of predictive analytics and automation in construction
· Ability to communicate complex technical concepts to non-technical stakeholders
IDEAL CANDIDATE PROFILE
· Deeply grounded in real estate development and construction
· Business-first mindset with strong technical execution
· Focused on measurable ROI, efficiency, and cost savings
· Disciplined, pragmatic, and trustworthy with sensitive data
· Comfortable building foundational systems before scaling AI initiatives
Join Our Mission to Bridge the Digital Divide - Through AI!
Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)
Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)
Location: Preference for Austin, Texas; remote possible
Travel: Occasional travel required with reasonable notice and accommodations
About Us
Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.
About the Role
We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.
This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.
This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.
Key Responsibilities
1. AI Programs Training & Facilitation (TTT Model)
- Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
- Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
- Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
- Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
- Conduct engaging and informative training sessions utilizing a standardized curriculum.
2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)
- Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
- Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
- Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
- Scale AI Community Engagements with clubs, societies, and foundations.
- Identify and articulate compelling use-case stories for workforce development partnerships.
- Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.
3. Content Development and Productization
- Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
- Lead the creation of slide decks, training decks, and other content as a core part of the role.
- Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
- Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
- Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.
What We're Looking For
- HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
- Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
- Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
- Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
- Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.
Why Join Us?
- Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
- Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
- Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
- Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.
Ready to Apply?
Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.
Please include:
- Your expected monthly salary in USD
- Your current location and time zone
- Your availability to start
- Any accommodation requests (if applicable)
SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.
Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.
What You'll Do
Opportunity Discovery
- Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
- Build simple business cases with the respective departments; baseline current performance, and quantify benefits
Program Management
- Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
- Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
- Run stage-gated delivery (scope pilot scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
- Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.
Delivery
- Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.
- Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work."
- Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
- Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.
Governance
- Partner with Legal/HR on data privacy and AI use policies.
- Ensure solutions comply with IT corporate cybersecurity and risk guidelines.
Success in this role will require:
- Collaboration & Communication
- Adaptability
- Problem Solving
- Analytical Thinking
- Business Acumen
What You'll Bring
- Bachelor's degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
- 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.
- Mastery of program management (business cases, roadmaps, stage gates, financials).
- Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
Preferred Qualifications
- Background manufacturing or associated environments.
- Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.
- Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)
By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.
HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.
Your key responsibilities
The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
Skills and attributes for success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies
Leading the design and implementation of an extensible common information model for the FDL Blueprint
Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps
Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security
Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL
Supporting the establishment and maintenance of a robust data governance framework for the FDL
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications
Ability to travel as required for client engagements and project needs.
To qualify for the role, you must have
Bachelor\'s degree in Finance, Accounting, Business, Computer Science
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes
Financial modeling and scenario analysis
Variance analysis and management reporting
Cross-functional collaboration with business stakeholders
Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:
Anaplan (Certified Model Builder preferred)
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
Oracle Hyperion
OneStream, Tagetik, or similar platforms
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design
Chart of accounts structuring and hierarchy management
Data quality standards and reconciliation processes
Master data management for finance applications
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Strong business skills including relationship management, commercial awareness, and communication.
Strong analytical and problem solving skills as well as excellent oral and written communication skills
A willingness to travel to meet client needs.
Ideally, you’ll also have
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred
A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
A proactive approach to problem-solving and decision-making.
Experience in leading diverse teams in dynamic environments.
What we look for
We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at
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At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
ESSENTIAL DUTIES AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
- Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
- Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
- Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
- Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
- Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
- Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
- Mentor and upskill existing developers on AI concepts, patterns, and best practices.
Required Skills & Experience
- 5+ year of full stack development experience.
- Strong software engineering background with experience building production-grade applications.
- Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Practical experience building RAG pipelines using vector databases and embedding models.
- Experience with prompt engineering, prompt versioning, and evaluation techniques.
- Solid Python experience for AI development.
- Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
- Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
- Understanding of data formats such as JSON, XML, and document-based data.
- Ability to translate business problems into AI-driven technical solutions.
Preferred Qualifications
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
- Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
- Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
- Exposure to video or image models and multimodal AI use cases.
- Experience working in enterprise environments with security, compliance, and change management considerations.
- Prior experience mentoring or leading developers in new technical domains.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.