We are looking for a
Technical Lead who will lead the design and development of AI solutions within enterprise environments for our clients. You'll combine hands-on engineering with leadership, guiding architecture decisions, mentoring teams, and building solutions.
Responsibilities- Technical Leadership & Architecture
- Lead architecture, design, development, testing, and deployment of enterprise software solutions (applications, data, integration, AI agents, AI models)
- Participate in strategy and roadmap discussions, architecture definition, and technology evaluations
- Mentor engineers through design reviews, code reviews, and technical guidance
- Quickly evaluate and adopt new tools, technologies, and platforms to build prototypes and proofs-of-concept
- Drive adoption of AI solutions and collaborate with engineering teams, product leaders, and domain experts to deliver results
- Software Engineering
- Design, develop, and maintain scalable, production-grade enterprise applications using modern languages and frameworks (Python, Java, C#, JavaScript)
- Define and enforce coding standards, best practices, and design patterns across the team
- Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud-deployed services (AWS, Azure)
- Integrate enterprise systems via APIs, event-driven architectures, and messaging platforms
- Identify and resolve performance bottlenecks, technical debt, and system reliability issues
- Data & Analytics
- Work with large, complex datasets and ensure data quality and integrity
- Analyze data to generate insights that inform both model development and broader solution strategy
- Collaborate with stakeholders to translate business problems into data-driven solutions
- AI / Machine Learning Development
- Design, develop, and train machine learning and deep learning models for healthcare and insurance use cases
- Perform data modeling and feature engineering to support model development
- Develop custom model metrics and approaches tailored to specific business problems
- Ensure models are scalable, reliable, and integrated into production systems
- Agentic AI Development
- Design and develop LLM-powered workflows and agentic systems that help users complete complex tasks, retrieve information, reason over enterprise data, or interact with internal systems.
- Integrate LLMs with tools, APIs, databases, documents, and enterprise platforms using patterns such as function calling, MCP, RAG, and structured tool use.
- Architect orchestration patterns for planning, task decomposition, memory, context management, and human-in-the-loop review where appropriate.
- Develop orchestration layers to manage agent planning, memory, task decomposition, and execution loops
- Evaluate agentic systems for correctness, reliability, safety, observability, auditability, and harden them for production readiness.
- Stay current with emerging AI frameworks and platforms, selecting tools pragmatically based on client needs.
Qualifications- Experience
- 6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions
- 1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect
- 1+ years in developing AI agents and/or AI model development and training
- Education
- Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering
- (Optional) Master's Degree or Minor in AI/Machine Learning or Statistics
- AI Engineering Skills (Two or More)
- Agentic AI: building and integrating autonomous AI agents using LLM APIs and orchestration frameworks (e.g., Anthropic Claude, OpenAI GPT, LangChain, CrewAI, AutoGen, MCP)
- Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Data Engineering & Feature Engineering: building data pipelines, performing feature engineering, and ensuring data quality across large, complex datasets
- Context Engineering: Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG techniques implementing retrieval-augmented generation patterns using vector stores (e.g., Pinecone, Weaviate, pgvector, ChromaDB), .
- LLM Prompt Engineering & Fine-Tuning: designing and evaluating effective prompts, system instructions, and fine-tuning strategies for production LLM applications
- AI Evaluation & Production Readiness: defining evaluation methods, testing model behavior, monitoring performance, and addressing reliability, safety, explainability, and auditability concerns
- What We're Looking For
- You move fluidly between writing code and leading a room - equally comfortable in a design review as you are in a pull request
- You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt
- You take ownership seriously - on small teams, your decisions have real impact and you're energized by that, not intimidated
- You're genuinely curious about AI, not just checking a box - you've experimented with agentic systems, LLMs, or ML tools on your own terms
- You communicate clearly with both engineers and non-technical stakeholders, and can translate complexity without dumbing it down
Location- Metro Detroit or North Carolina Research Triangle (Raleigh, Durham, Chapel Hill)
- Hybrid: flexibility to work remotely, but not fully remote
- Travel to X by 2 offices (Farmington Hills, MI) and client sites (within US) is required when requested
Work Environment and Culture- Work alongside smart, collaborative people who continually challenge and invest in each other
- Partner with seasoned architects to solve hard problems and challenge assumptions
- Small teams mean real ownership, with growth and responsibilities driven purely by individual performance
- Everyone has a voice and is encouraged to shape the company by sharing their interests, ideas, and feedback
Compensation & Benefits- Base salary $143K-$185K, depending on experience, plus profit sharing
- Annual raises and promotions based on performance
- 401(k) with employer match
- Comprehensive health, vision, dental, life, and disability insurance coverage, plus voluntary benefits and HSA with employer contribution
- Home Office Reimbursement, Health and Wellness Reimbursement, and Professional Dress Allowance
- Professional Self-Development Program
- Paid vacation, unlimited sick days (as needed), and holidays
- Company-sponsored social events and an employee recognition rewards program
Sound Like You?We're not looking for someone who has done everything - we're looking for someone who is driven to. If you thrive in environments where you can move fast, go deep, and make a real difference for clients solving complex problems in healthcare and insurance, we'd love to hear from you.
