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Role: Principal AI Solution Architect
Location: Houston, TX, 77086 - Onsite
Duration: Long term Contract
Job Description:
Key Responsibilities:
- Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
- Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
- Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
- Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
- Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
- Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
- Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skills:
- Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
- Hands on experience deploying and operating ML pipelines using Azure Machine Learning
- Proficiency in Python and modern software engineering practices
- Experience with automation and configuration management, including Ansible
- Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills:
- Experience with Microsoft Foundry
- Experience implementing or operating agentic AI systems
- Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
- Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements:
- 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
- Proven experience delivering production AI or ML solutions in a cloud environment
- Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Working:
- Ability to work independently as a contractor while integrating effectively with existing teams
- Strong communication skills, with the ability to explain complex technical concepts clearly
- Results oriented mindset with a focus on delivering business value quickly and reliably.
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
Edge AI/ML Architecture Strategy- 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.
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.
Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.
Our offices have onsite fully equipped state of the art gyms for employees at zero cost.
Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.
We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.
Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.
Granite was recently named One of Forbes Best Employers for Diversity.
Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.
If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.
EOE/M/F/Vets/Disabled
Job Description
We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:
- Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
- Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
- Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
- Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.
Duties and Responsibilities
- Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
- Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
- Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
- Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
- Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
- Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
- Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
- Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
- Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
- Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
- 5+ years of proven experience developing and deploying production-grade AI/ML systems.
- Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
- Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
- Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
- Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
- Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
- Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
Preferred Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
- Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
- Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
- Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
- Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
- Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
- Experience in regulated industries or environments requiring strict compliance and data governance standards.
Collectiv is seeking a dynamic, results-driven Business Development Executive with a growth mindset and a hunter mentality to drive new business in a complex consulting environment. This role requires a proven track record in selling Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI-driven technologies.
Join Our TeamAre you passionate about leveraging Data & AI to drive business transformation? At Collectiv, we empower organizations to unlock the full potential of Microsoft's Data & AI ecosystem. As part of our team, you'll build strong client relationships, drive strategic growth, and sell impactful solutions that shape the future of data-driven decision-making.
Skills and Experiences- Experience selling Microsoft Data & AI consulting services is required.
- Proven success in selling consulting engagements related to Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI/ML solutions is required.
- Proven track record as a proactive business developer, excelling in identifying and closing net-new opportunities in a competitive market is required.
- Ability to act as a trusted advisor, addressing complex business challenges with data strategy, analytics, and AI-driven solutions.
- Experience selling at the C-suite level, driving strategic business transformation.
- Growth mindset, with a focus on overcoming obstacles, executing high impact initiatives, and delivering tangible business outcomes.
- You are a proactive dealmaker who excels at identifying and closing high-value opportunities in the Data & AI space.
- You are a self-motivated, strategic thinker who thrives in complex sales cycles and consultative engagements.
- You bring energy, collaboration, and perseverance, navigating challenges to drive successful outcomes.
- You have exceptional interpersonal skills, building trusted relationships with clients, partners, and internal teams.
- You anticipate challenges and address objections with a solutions-oriented, consultative approach.
- You are a persuasive communicator and influencer, effectively aligning technology solutions with business needs.
- Specialize in Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, and AI-driven technologies.
- Identify, develop, and close high-impact data transformation opportunities, managing the entire sales lifecycle.
- Drive revenue growth by cultivating strong relationships with enterprise and mid-market clients.
- Partner closely with Microsoft teams and ecosystem collaborators, leveraging co-sell opportunities and joint go-to-market strategies.
- Build and maintain a strong sales pipeline, ensuring consistent and sustainable business expansion.
- Stay ahead of market trends, competitive landscapes, and emerging Microsoft Data & AI advancements to offer informed solutions.
- Work in collaboration with Collectiv's consulting and delivery teams, ensuring smooth transitions from sales to execution for client success.
Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.
Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.
Our mission at Collectiv is simple: We help enterprises make better decisions.
Our Core Values:
Growth Mindset Bring solutions, not problems.
Excel with Humility Be humbly brilliant.
Communicate Actively and Empathically Listen, ask, understand, help.
Work Hard, Play Hard Results are proportional to effort.
Keep Calm and Carry On Stay cool, calm and Collectiv.
Overview
Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.
This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.
Why this role?
This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.
You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.
Key Responsibilities
- Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
- Draft and negotiate vendor, supplier, and outsourcing agreements.
- Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
- Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
- Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
- Negotiate AI system licenses and content licenses for AI model training.
- Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.
Top Requirements
- 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
- Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
- Experience negotiating complex IP, data access, and licensing arrangements.
- Background advising fintech, financial institutions, or digital asset clients.
- Exceptional drafting, negotiation, and communication skills.
- Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
- JD and admission to practice in the relevant jurisdiction.
Preferred Experience
- Experience negotiating AI system and AI training content licenses.
- Familiarity with advertising and marketing law as applied to technology companies.
- Experience advising on IP aspects of M&A and related transactions.
- Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.
Compensation
- $225,000 – $330,000 base salary, depending on experience.
- Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).
TL;DR
Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.
About Whistler Partners
Matchmakers, Not Headhunters
Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.
We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.
We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.
As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.
At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.
Location: Atlanta (Hybrid)/US (remote)
What You’ll Do
As our Sales Representative, you’ll be on the front lines driving our growth:
- Prospect, pitch, and close deals for our AI technology solution such as our chatbot
- Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
- Represent Commercient at meetings, demos, and events across the US
- Gather insights from the market to help shape our product and sales strategy
- Hit and exceed sales targets while growing your career in a fast-moving company
- Travel to several conferences per year in the US
Who You Are
- Sales hunter with a passion for building relationships and closing deals
- Energetic, ambitious, and motivated by results
- AI enthusiast who likes to learn about AI and stays current with the trends
- Comfortable meeting clients and thriving in a dynamic, less-structured environment
- Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
- 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
- Familiarity with Salesforce, HubSpot, or ERP ecosystems
- Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
- Consultative, high-EQ selling style with technical curiosity
- Comfortable engaging at C-level and VP-level
- Self-starter with strong pipeline discipline and storytelling ability
- Excited about shaping a next-generation AI sales motion
- Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
- Comfortable working independently in a remote team environment
- Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.
Not for you if: you dislike rejection or ambitious goals.
Why Join Us?
- Be a key player in our expansion — your impact is direct and visible
- Work closely with founders and an international team
- Learn and grow in a tech-driven, fast-moving environment
- We have an engaging, collaborative culture focused on succeeding together
Compensation & Perks
- Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
- Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
- Comprehensive Benefits Package
- 401k program with generous company match
- PTO
- Hybrid role based in Atlanta, GA with fully remote option for US-based candidates
About Commercient
Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.
Why Work With Us
- Work remotely with a diverse, supportive, and fun global team
- Be part of an innovative company that embraces cutting-edge technology
- Enjoy learning and development opportunities to grow your career
- Flexible work-life balance and an environment where ideas thrive
Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.
Remote working/work at home options are available for this role.
Senior Applied AI Scientist
Fully Remote - HQ in New York, New York
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
- You will report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Senior Applied AI Scientist will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal
Role:
The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.
Responsibilities:
Product Management & Business Partnership:
- Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
- Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
- Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
- Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
- Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
- Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.
AI Solution Design & Delivery Support:
- Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
- Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
- Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
- Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
- Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Value & Impact Measurement:
- Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
- Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
- Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
- Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.
Qualifications:
- At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
- Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
- Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
- Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
- Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
- Hands-on experience leading change initiatives and measuring adoption by teams.
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to articulate technical concepts to non-technical stakeholders
- Deep understanding of AI applications, tools, and methodologies
- Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
- Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
- Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.
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
This role combines strong Python-based data engineering expertise with technical leadership to build scalable, reliable, and production-ready data platforms aligned to business and AI objectives.
Job Description: The AI Lead works closely with data scientists, platform teams, and stakeholders to ensure high quality data pipelines, efficient processing, and seamless integration with AI/ML workflows.
Key Responsibilities: Lead the design and implementation of end to end data engineering pipelines supporting AI and analytics use cases.
Develop and optimize Python based data processing frameworks for ingestion, transformation, and enrichment.
Architect scalable data solutions for structured and unstructured data.
Enable AI/ML initiatives by ensuring high quality, reliable, and well governed data pipelines.
Collaborate with data scientists to support model training, validation, and deployment workflows.
Define standards and best practices for data engineering, coding, testing, and performance optimization.
Ensure data solutions meet scalability, reliability, and performance requirements.
Guide and mentor engineers, providing technical direction and design reviews.
Work with stakeholders to translate business requirements into technical data solutions.
Drive continuous improvement in data platform maturity and delivery efficiency.
Required Skills & Experience: Strong proficiency in Python for data engineering and automation.
Solid experience in data pipeline development, transformation, and orchestration.
Experience working with large scale data platforms and datasets.
Understanding of AI/ML data lifecycle and dependencies.
Experience designing solutions for high availability and performance critical systems.
Strong problem solving and technical leadership skills.
Preferred Qualifications: Experience supporting AI/ML platforms and analytics ecosystems.
Exposure to cloud based data services and modern data architectures.
Familiarity with DevOps or automation practices for data platforms.
Experience working in Agile delivery environments.