Gptzero, AI Jobs in Usa

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• 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.
  

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• 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
  

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• Deep hands-on experience in Python for AI/ML development.
  

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• 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).
  

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• 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.
  

Role Overview

We are seeking a highly experienced Senior AI Architect to lead the design and implementation of enterprise-scale Agentic AI systems and multi-agent orchestration platforms. This role requires deep expertise in LLM-based architectures, distributed systems, and cloud-native infrastructure.

As a technical authority, you will guide enterprise clients through their Agentic AI transformation, from evaluating AI frameworks and communication protocols to deploying scalable, production-ready AI automation solutions.

You will work at the forefront of GenAI platform engineering, designing architectures that power intelligent automation, enterprise knowledge systems, and AI-driven workflows.

Key Responsibilities

Agentic AI Architecture & Design

• Design and implement end-to-end multi-agent orchestration systems for enterprise automation and decision intelligence.
• Define agent design patterns, including agent roles, delegation frameworks, task decomposition, and orchestration strategies.
• Architect scalable agent ecosystems with lifecycle management, monitoring, fallback mechanisms, and human-in-the-loop capabilities.
• Evaluate and implement inter-agent communication protocols such as MCP, A2A, REST, gRPC, JSON-RPC, and event-driven messaging.

GenAI & Foundation Model Integration

• Select and integrate LLMs and foundation models (OpenAI, Anthropic, Gemini, Mistral, Llama, etc.) based on task requirements.
• Develop advanced prompt engineering and context management strategies, including:
• Few-shot prompting
• Chain-of-thought reasoning
• Retrieval-Augmented Generation (RAG)
• Structured output pipelines
• Implement tool and function calling patterns enabling agents to interact with enterprise APIs, databases, and services.
• Optimize context window management, token budgets, and dynamic context injection for scalable production systems.

State Management & Agent Memory

• Architect stateful AI systems with short-term, long-term, and episodic memory layers.
• Implement persistence strategies using:
• Vector databases
• Key-value stores
• Graph databases
• Relational systems
• Design auditable and idempotent execution patterns suitable for enterprise governance and compliance requirements.

Microservices & Platform Engineering

• Build AI platforms using loosely coupled microservices with scalable APIs and observability built in.
• Deploy AI systems using container orchestration platforms such as Kubernetes (EKS, AKS, or GKE).
• Establish CI/CD pipelines for AI workloads including model versioning, prompt versioning, and deployment strategies.
• Promote Infrastructure-as-Code (IaC) using tools like Terraform and GitOps deployment practices.

Enterprise Client Engagement

• Partner with enterprise stakeholders to assess AI readiness and automation opportunities.
• Translate complex business requirements into scalable AI system architectures.
• Provide guidance on build vs. buy decisions for AI frameworks and vendor tools.
• Produce architecture documentation, reference designs, and implementation playbooks.

Required Qualifications

• 8+ years of experience in software engineering or platform architecture.
• 3+ years of experience designing AI/ML systems or GenAI platforms.
• Hands-on experience building multi-agent or agentic AI orchestration systems in production.
• Strong experience with agent frameworks such as:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
• Expertise integrating LLMs, embeddings, tool/function calling, and RAG pipelines.
• Deep knowledge of microservices architecture, distributed systems, and API design.
• Experience with container orchestration (Kubernetes preferred) and cloud platforms such as GCP, AWS, or Azure.
• Strong programming skills in Python, with additional experience in TypeScript, Go, or Java preferred.

Preferred Qualifications

• Experience working with enterprise clients or consulting environments.
• Knowledge of AI governance, responsible AI, and compliance frameworks.
• Familiarity with model fine-tuning, RLHF, or adapter-based model customization.
• Experience with AI observability tools such as LangSmith, Arize AI, or OpenTelemetry.
• Experience working with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Contributions to open-source AI or agentic system projects.

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

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

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• 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

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• 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

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• 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.

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

AI Innovation Architect

Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.

Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.

InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
• Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
• Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
• Create and promote AI strategies that align with business objectives
• Develop and coordinate POCs to test new technologies
• Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation

QUALIFICATIONS

• U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
• 8+ years of experience delivering AI solutions across federal agencies
• Bachelor’s degree in Computer Science, Engineering, or Data Science
• Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
• Ability to identify high-impact AI use cases and translate them into technical requirements
• Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
• Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
• Excellent written and oral communication skills
• Ability to tailor and present information across multiple stakeholders

NICE TO HAVES

• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
• Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
• Experience with Google Gemini

ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.

WHY INDEV

• Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
• Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
• Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
• Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
• Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
• Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.

If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.

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.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.

• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.

• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
• Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
• Experience designing systems that balance performance, accuracy, latency, and resource constraints.
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

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.