Openai Jobs in Usa

ABOUT COOPERATIVE LA

Cooperative LA is disrupting the construction management space and growing rapidly — taking on some of the region’s most meaningful civic, cultural, institutional, and development projects ranging from $5m to $2b in value. As a young, diverse, technology-driven and forward-thinking team, we’re redefining what owner representation can be: more rigorous, more creative, more technically-focused, and more impactful.

We’re committed to building a truly exceptional group of professionals who share our values and approach:

Project First — putting communication, clarity, and forward progress above ego.

Progress, Always — staying curious, learning relentlessly, and improving how we work every day.

People Focused — building trust, fairness, and strong partnerships across the entire project team.

Prosperity Throughout — aligning financial success for clients, partners, and our team, so everyone moves forward together.

As we expand quickly, we’re looking for the industry’s top emerging talent — entrepreneurial construction professionals who want to help shape a growing company, elevate the standard of our profession, quantify their impact and help shape the future of owner representation in Los Angeles. We are most interested in self-motivated candidates who understand the importance of urgency, efficiency, time management and prioritization to meet challenging goals.

ROLE DESCRIPTION

We are seeking a Project Manager with 6–10 years of experience who brings deep technical understanding, strong team leadership, and the ability to guide complex projects from early design through construction. General Contractor or Architect experience is preferred.

With oversight and training from a Project Executive or President, the Project Manager will oversee and coordinate all aspects of challenging construction projects, including planning, scheduling, budgeting and managing resources to ensure successful project completion and satisfied clients. The projects include multifamily (including modular), sports arenas, historic, public-private partnerships, utility infrastructure, hospitality, industrial and more.

This is a full-time, on-site role based in Los Angeles, CA with offices located in Pasadena and Culver City. Projects are located throughout Los Angeles County.

The team is currently working 2-3 days per week in the office and 2-3 days per week from home or project sites.

RESPONSIBILITIES

True Builder

• Manage medium-to-large projects across design, permitting, bidding, contracting and construction.
• Quickly identify interdisciplinary conflicts in drawings and consultant deliverables.
• Oversee schedule reviews, delay/acceleration planning, and change-order negotiations.
• Apply lessons learned and constructability knowledge to guide team decisions.
• Maintain strong technical fluency across trades and building systems.
• Share construction lessons learned with teammates in monthly staff meeting presentations.
• Mentor teammates on specific trade expertise to elevate the company’s overall technical ability.

Team Leadership

• Assume responsibility for project and team success, including that of external partners.
• Lead multidisciplinary consultant and contractor teams with clarity, accountability and a Project First mindset.
• Create and update project schedules, permit logs, utility matrices, issues list and any other tools to surface critical issues and focus the team on priorities. 
• Build strong relationships with clients, public agencies, and project partners.
• Navigate and resolve inter-consultant conflicts swiftly and diplomatically.
• Push teams toward best practices and elevate the performance of the entire project ecosystem.
• Mentor Assistant Project Managers and support their career development.
• Represent Cooperative LA with professionalism, authority, and reliability.

Meeting Leadership

• Lead structured, efficient meetings that produce decisions, commitments, and forward motion.
• Properly prepare for meetings and guide discussions toward resolution in meeting or by specific due dates.
• Capture and distribute meeting notes within 24 hours that are accurate, action-oriented, and governed by due dates.
• Push for clear deadlines informed by project targets and ensure follow-through across all participants.
• Create spin-off coordination sessions when technical issues require deeper focus.

Quality Deliverables

• Produce and oversee high-quality schedules, budgets, reports, logs, risk trackers, and other project documentation.
• Tailor deliverables to meet client needs while maintaining firm-wide standards.
• Provide detailed feedback and quality control on APM deliverables.
• Develop improved tools, templates, GPTs or processes when existing ones aren’t sufficient.
• Ensure all reporting surfaces risks and drives timely decision-making.

Integrity

• Serve as a trusted advisor to clients and a stabilizing force for the team.
• Communicate difficult truths with diplomacy and professionalism.
• Hold yourself and others to high ethical standards.
• Practice authenticity and courage with sharing ideas, stating limitations and flagging concerns.
• Diligently and urgently protect the client’s budget and schedule as if it was your money.
• Demonstrate humility, fairness, and accountability, especially under pressure.
• Model Cooperative LA’s values in every interaction.

 Technologies

• We use Smartsheet, OpenAI, Bluebeam, Procore, Primavera, EOS, Pipedrive, Microsoft Suite and more.
• Those with a curiosity around new technologies and finding better ways to work do exceptionally well here.

What We’re Looking For

• 6–10 years of experience in development, construction management, architecture, engineering, or similar fields. General Contractor or Architect experience is preferred.
• Strong technical expertise across major trades and building systems.
• Proven ability to lead interdisciplinary teams and manage complex workflows.
• Excellent communication, meeting leadership, and conflict-resolution skills.
• Ability to mentor junior staff, organize large efforts, and deliver high-quality work under tight timelines.
• Alignment with Cooperative LA’s values and commitment to excellence.
• Experience managing projects in Los Angeles is preferred.
• Ability to work three times a week at our main office in Pasadena.

Salary & Benefits

• The annual salary range for this role is $145,000 to $162,000.
• Annual performance based bonuses.
• Clarity and support for upward mobility using C.LA's Competency Ladders.
• Remote workdays 2 days a week.
• AI training and immersion.
• 6% 401k Employer Match.
• 100% medical coverage for employees on base plans.
• Profit Interest Units (PIUs) Program Eligibility.
• Flexible PTO Policy.
• Professional development allowances for ULI, AIA, etc.
• Weekly lunches and quarterly team building events.
• Beautiful offices in Pasadena and Culver City working alongside AEC & Development firms as co-tenants.

How to Apply

• If you’re interested in this role, email your resume or CV to with the subject line: “Project Manager — [Your Name]”

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.
  

The Global Account Manager is responsible for developing and maintaining key customer accounts, working both independently and in collaboration with an account team. This role has both strategic and tactical responsibilities. The Global Account Manager ensures that Cohu is positioned for long‑term success with assigned customers by aligning internal resources and coordinating operational execution to meet or exceed customer requirements and expectations.

Essential Functions / Major Responsibilities

• Maintain overall responsibility for managing Cohu’s business and relationships with assigned customer accounts. Collaborate with global cross‑functional teams (Engineering, Manufacturing, Service, Sales, Finance, Operations) to communicate customer expectations and ensure Cohu is meeting bookings targets and achieving desired market share.

• Serve as the primary internal and external contact for customer issues. Lead meetings to define and present technical information and drive delivery schedule communications.

• Schedule and coordinate regular product reviews, management reviews, technology roadmap discussions, and other meetings to understand customer requirements, identify growth opportunities, and influence future business.

• Communicate regularly with customers as their primary point of escalation and incident management. Own customer issues, ensure timely resolution, and escalate to senior management when necessary.

• Build and cultivate strong relationships across multiple levels within customer organizations to achieve strategic selling objectives by influencing key stakeholders.

• Maintain visibility into customer operations and plans. Identify and address potential gaps in Cohu’s performance before they escalate. Monitor and communicate customer strategy shifts that may impact Cohu’s business.

• Create and deliver technical presentations as needed.

• Prepare and distribute regular reports documenting account activities, key events, status updates, and action items.

• Take ownership of customer satisfaction scorecards; address issues with urgency to maintain a high level of customer satisfaction.

• Prepare timely responses to RFQs and RFIs.

• Lead contract negotiations, collaborating with internal stakeholders to define negotiation strategies and achieve optimal results.

• Provide leadership in setting work priorities and schedules across the organization to support customer needs.

• Identify, define, and develop new business opportunities.

• Prepare accurate and timely forecasts.

• Coordinate and host customer meetings and conference calls. Lead or participate in Equipment User Group meetings as appropriate.

Qualifications

Education

• Bachelor’s degree, preferably in Engineering with emphasis in Mechanical, Electrical, or Mechatronics.

Experience

• Minimum of 5 years in the semiconductor equipment industry or related business, serving in a sales, service, or marketing capacity as a supplier or user of back‑end equipment.

• Experience working with customers manufacturing AI-, ML-, or HPC‑class semiconductor devices—such as Nvidia, Google, Microsoft, Apple, OpenAI (ChatGPT), or similar advanced computing chipmakers

Skills / Technical Requirements

• Ability to function successfully in a dynamic, high‑pressure environment while remaining calm, confident, and solutions‑focused.

• Strong interpersonal, communication (written and verbal), and negotiation skills.

• Demonstrated ability to apply situational leadership and collaborate effectively with all levels of internal and external stakeholders.

• Strong organizational and problem‑solving skills.

• Ability to maintain a sense of urgency and motivate cross‑functional teams to achieve objectives.

• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.

Job Conditions / Physical Demands

• Work is primarily performed in a typical office environment but includes regular time at customer sites and on factory floors.

• Domestic and international travel is required.

Protective Equipment

• Required in designated areas.

With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice.

Connect with Cohu…

Connect with your future…

Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category.

In addition, reasonable accommodations are available to qualified disabled individuals, upon request.

Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.

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.

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**

Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

• Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
• Provide production support and ensure high availability, performance, and reliability of applications
• Troubleshoot complex production issues and drive durable, long-term solutions
• Architect and implement scalable, secure, cloud-native solutions
• Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
• Partner with product managers and senior stakeholders to translate business needs into technical solutions
• Establish and enforce architecture standards, coding best practices, and documentation
• Mentor and lead distributed engineering teams to deliver high-quality software on schedule
• Facilitate cross-functional alignment across engineering, product, and business teams
• Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

• 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

• Azure
• C# / .NET
• React and Next.js
• Node.js
• SQL Server and NoSQL databases (e.g., Cosmos DB)
• Solid understanding of microservices and event-driven architectures
• Experience with containerization technologies such as Docker and Azure Service Fabric
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
• Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
• Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
• Proven experience leading and mentoring onshore/offshore teams
• Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Experience deploying large-scale, cloud-native applications on Azure
• Familiarity with Kubernetes or other container orchestration platforms
• Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
• Understanding of cloud infrastructure and security best practices
• Experience designing and executing technical POCs