Sr. AI Agent / Prompt Engineer

About the role

At HCA, you'll find opportunities to build new skills, expand your career, and make a real impact while working in a diverse, inclusive, and values-driven environment. We're proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups.

Responsibilities

• Design, build, and harden production grade AI agents that use large language models to reason, invoke tools, retrieve enterprise knowledge, and recover from errors.
• Own agent behavior end to end, including prompt systems, tool orchestration, guardrails, evaluation, and reliability in real business workflows.
• Partner closely with architecture, product, governance, and UX, and actively drive AI initiatives from prototype through production.
• Author and maintain robust prompt libraries (system prompts, task prompts, tool prompts) with clear structure, constraints, and fallbacks.
• Develop agent workflows using function calling, graph-based orchestration, or similar agent frameworks.
• Continuously iterate prompts and agent logic to improve accuracy, consistency, and grounded response.
• Integrate agents with enterprise tools, APIs, and data sources (e.g., retrieval systems, workflow engines, internal services).
• Define safe tool use patterns, permissions, and auditing strategies in partnership with governance and security teams.
• Partner with data and platform engineers to ensure reliable RAG and agent execution paths.
• Define and run offline and online evaluations for agent behavior (task success, tool success, error recovery).
• Diagnose failure modes such as hallucinations, prompt injection, and tool misuse.
• Partner with QA and Governance to harden agents prior to production release.
• Partner with business teams and product managers to translate business use cases into agent behaviors and integrate AI agents into production systems.
• Ensure optimized design for interaction flows, transparency, and user trust.
• Stay current of emerging AI research trends and recommend practical improvements to the enterprise AI stack.

Requirements

• Minimum 8 years’ progressive experience including 3+ years in applied AI or backend engineering, including strong proficiency with Python.
• Experience with agent frameworks (LangChain/LangGraph or similar patterns).
• Experience with AI content generation, chatbots, or automated workflows.
• Experience with multi-agent coordination, RLHF/RLAIF, or feedback loops preferred.
• Automotive or financial services industries preferred.
• Bachelor’s degree in computer science, data science, engineering, or a related field.
• Proven expertise in building AI agents and orchestrating multi-model workflows.
• Deep understanding of prompt design patterns, context management and model behavior tuning.
• Track record of delivering production-grade AI solutions that balance innovation with reliability.
• Technical background, strong analytical skills and a creative mindset to shape AI interactions and improve automated systems.
• Exceptional attention to detail and quality.
• Ability to work autonomously and in a team environment.
• Excellent verbal and written communication, including presentation skills.
• Excellent interpersonal skills to successfully collaborate with cross-functional departments.
• Strong orientation toward results coupled with reputation for integrity, creativity and good judgment.
• Must have the ability to challenge, when appropriate, existing practices.

Qualifications

• Minimum 8 years’ progressive experience including 3+ years in applied AI or backend engineering, including strong proficiency with Python.
• Experience with agent frameworks (LangChain/LangGraph or similar patterns).
• Experience with AI content generation, chatbots, or automated workflows.
• Experience with multi-agent coordination, RLHF/RLAIF, or feedback loops preferred.
• Automotive or financial services industries preferred.
• Bachelor’s degree in computer science, data science, engineering, or a related field.
• Proven expertise in building AI agents and orchestrating multi-model workflows.
• Deep understanding of prompt design patterns, context management and model behavior tuning.
• Track record of delivering production-grade AI solutions that balance innovation with reliability.
• Technical background, strong analytical skills and a creative mindset to shape AI interactions and improve automated systems.
• Exceptional attention to detail and quality.
• Ability to work autonomously and in a team environment.
• Excellent verbal and written communication, including presentation skills.
• Excellent interpersonal skills to successfully collaborate with cross-functional departments.
• Strong orientation toward results coupled with reputation for integrity, creativity and good judgment.
• Must have the ability to challenge, when appropriate, existing practices.

Skills

• Strong proficiency with Python.
• Experience with agent frameworks (LangChain/LangGraph or similar patterns).
• Experience with AI content generation, chatbots, or automated workflows.
• Experience with multi-agent coordination, RLHF/RLAIF, or feedback loops.
• Experience with automotive or financial services industries.
• Bachelor’s degree in computer science, data science, engineering, or a related field.
• Proven expertise in building AI agents and orchestrating multi-model workflows.
• Deep understanding of prompt design patterns, context management and model behavior tuning.
• Track record of delivering production-grade AI solutions that balance innovation with reliability.
• Technical background, strong analytical skills and a creative mindset to shape AI interactions and improve automated systems.
• Exceptional attention to detail and quality.
• Ability to work autonomously and in a team environment.
• Excellent verbal and written communication, including presentation skills.
• Excellent interpersonal skills to successfully collaborate with cross-functional departments.
• Strong orientation toward results coupled with reputation for integrity, creativity and good judgment.
• Ability to challenge, when appropriate, existing practices.

Benefits

• Hybrid work schedule offering 4 on-site days and 1 remote day per week.
• Vehicle benefits designed around your role, including monthly allowances and purchase and lease discounts.
• Flexible health coverage with medical, dental, and vision plans, including no cost and low-cost options.
• Annual employer HSA contribution to help offset healthcare expenses.
• 401(k) with company match and immediate vesting, so you can start building your future from day one.
• 100% company paid life and disability insurance for added peace of mind.
• Wellbeing programs at no cost to you, including gym benefits and health resources.
• Generous parental leave to support growing families.
• Paid Volunteer Time Off, plus a company donation to a charity of your choice.

Pay

$132,000.00 - $204,600.00

Schedule

Full-time