Senior Consultant - AI Engineer

Summary: The Senior Consultant - AI Engineer leads the technical design, development, and implementation of enterprise-grade Agentic AI solutions. This role involves collaborating with cross-functional teams to deliver scalable Gen AI products, ensuring adherence to best practices, and mentoring junior engineers while...

General Position Information

Reports directly to (Title):

Digital Transformation & Innovation Team

Job Title Identification:

Senior Consultant - AI Engineer

Reports directly to (Title):

Senior Manager - AI Engineering

Created / Last Revised:

Position Summary:

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality healthcare services. HCA’s Digital Transformation and Innovation (DT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

As a Senior Consultant – AI Engineer, you will be a senior technical contributor supporting the development and implementation of Agentic AI solutions for HCA. You will collaborate closely with product managers, data scientists, and other stakeholders to deliver high-quality, scalable, and reliable Gen AI products. Your deep technical expertise and engineering skills will be essential in supporting design decisions, building production-ready AI capabilities, guiding the team, ensuring adherence to best practices, and delivering impactful AI solutions.

Responsibilities:

• Lead the technical design, development, and implementation of assigned enterprise-grade Agentic AI solutions aligned to strategic business priorities.
• Own the end-to-end delivery of assigned technical workstreams, including solution design, development, testing, deployment, monitoring, and performance optimization.
• Contribute to architecture and technical direction for Agentic AI systems, partnering closely with product managers, data scientists, security, and enterprise architecture teams to translate business requirements into scalable, production-ready solutions.
• Design, develop and maintain AI agents, prompt flows, API services, tool integrations, and workflow automations that integrate with existing platforms and workflows.
• Apply engineering best practices for AI development, including coding standards, model evaluation methodologies, testing protocols, CI/CD pipelines, deployment procedures, observability, security, and compliance requirements.
• Implement scalable, secure, and reliable AI infrastructure components, supporting high availability, performance, and adherence to enterprise privacy and regulatory standards.
• Design, develop, and deploy AI agents to automate tasks, improve decision-making, and enhance user experience.
• Integrate AI agents into existing systems and workflows, ensuring seamless operation and optimal performance.
• Serve as a hands-on technical contributor and subject matter resource in Agentic AI, supporting complex implementations, resolving technical challenges, and mentoring and supporting the team.
• Participate in architectural decisions for AI agent orchestration, tool integration, and system interoperability.
• Evaluate and prototype emerging AI technologies and frameworks, making data-driven recommendations to improve system performance, cost efficiency, and scalability.
• Embed responsible and ethical AI practices into solution design, including guardrails, evaluation frameworks, and human-in-the-loop considerations.
• Stay current with advancements in AI and Agentic AI and continuously build and enhance system capabilities and development efficiency.
• Participate in cross-functional collaboration across HCA business functions, IT, and enterprise product teams.
• Participate in code reviews, team discussions, documentation, and Agile ceremonies.
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
• Typical work hours can vary depending on workload and project deliverables.
• Performs other duties as assigned.

Education & Experience:

• Bachelor’s degree in computer science engineering, data science or related field. - Required
• Master’s degree in computer science engineering, data science or related field. - Preferred
• 8-11 years of software development experience with 3+ years in AI/ML, Agentic AI, LLM, Gen AI. - Required
• Experience in APIs, Automation, Data engineering, Cloud engineering or related technical field. - Preferred

Licenses, Certifications & Training:

• Certifications in AI/ML, Agentic AI, Gen AI, responsible AI, cloud-native development. - Preferred

Knowledge, Skills, Abilities, Behaviors:

• Strong technical background with hands-on experience developing and deploying Agentic AI solutions and AI agents using Python or similar languages.
• Working knowledge of Gen AI, LLMs, prompt engineering, RAG concepts, orchestration frameworks and model evaluation approaches.
• Deep understanding of software development best practices including APIs, Git, coding standards, testing, deployment, debugging and documentation.
• Experience with cloud-based AI platforms and services (e.g. GCP, Azure).
• Ability to build reliable integrations across systems, tools, APIs, data sources, and enterprise workflows.
• Observability, monitoring, logging, security, privacy, and compliance considerations for AI-enabled systems.
• Strong problem-solving, communication, collaboration, curiosity, and technical ownership skills.
• Ability to mentor others while remaining hands-on in design, development, testing, and troubleshooting.