Technical AI Product Lead

This is a fully remote position, open to applicants in Connecticut, +2 more states.

📋 Description

• Ensure task and project deadlines are met through proactive dependency management and a consistent delivery schedule.

• Produce high-quality outcomes by making practical tradeoffs and ensuring a repeatable delivery process.

• Adhere to QRM principles by making design decisions that are reviewable and considering risk tradeoffs.

• Have a solid understanding of core technology stacks to make informed architectural and automation decisions.

• Effectively delegate tasks and provide instruction, ensuring that significant execution responsibilities are assigned to others when suitable.

• Recognize client challenges and design features that present clear tradeoffs.

• Oversee feature dependencies and manage budgets effectively.

• Craft client communications that clearly articulate tradeoffs and outcomes.

• Serve as a reliable partner in addressing features and tradeoffs.

• Consistently meet or surpass client expectations through repeatable delivery and enhanced efficiency.

• Mentor staff on tool utilization, patterns, and providing feedback.

• Manage conflicts constructively and foster trust.

• Provide and solicit timely feedback with clearly defined expectations.

• Optionally engage in market segment committees.

• Identify scalable opportunities and assist with pilot initiatives.

• Support practice marketing efforts as needed.

• Contribute to broader practice requirements, including mentoring and interviewing.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related discipline.

• Over 4 years of professional experience in software development, particularly in AI and machine learning applications.

• Familiarity with foundational model APIs such as OpenAI, Anthropic, Gemini, and Llama.

• Proficient in programming languages including Python and C#, with experience in AI frameworks like LangChain, OpenAI, LlamaIndex, PromptFlow, PyTorch, or similar.

• Proven experience in implementing and integrating pre-trained AI models into applications.

• Strong grasp of machine learning algorithms and natural language processing techniques.

• Familiarity with software development methodologies, version control systems, and agile practices.

• Experience with cloud technologies (Azure) and managing large datasets (e.g., Azure Synapse, Databricks, Data Lakes).

• Excellent problem-solving capabilities and the ability to resolve complex AI-related challenges.

• Strong communication skills and the ability to collaborate effectively in a team environment.

• Knowledge of the healthcare industry and its regulatory aspects is advantageous.

🏝️ Benefits

• Medical, Dental, and Vision – Coverage available for employees, their dependents, and domestic partners.

• Employee Assistance Program (EAP) – Confidential support for personal and professional challenges.

• 401(k) Plan – Includes a company matching program along with profit-sharing contributions.

• Discretionary Bonus Program – Acknowledging employee contributions.

• Flexible Spending Accounts (FSA) – Pre-tax savings opportunities for dependent care, transportation, and eligible medical expenses.

• Paid Time Off (PTO) – Begins accumulating from the first day of employment. Full-time employees earn 15 days per year, while part-time employees accrue PTO on a prorated basis.

• Holidays – At least 10 observed holidays each year.

• Family Building Benefits – Includes support for adoption and fertility.

• Paid Parental Leave – Up to 12 weeks of paid leave for eligible employees.

• Life Insurance & AD&D – 100% of premiums are covered by Milliman.

• Short-Term and Long-Term Disability – Fully covered by Milliman.