Senior Consultant - AI Engineer
- Source: LinkedIn
- HCA Healthcare - India
- On-site
- Hyderabad
- Full-Time
- Senior
Job Description
General Position Information Department Name: Digital Transformation & Innovation Team
Job Title Identification: Senior Consultant - AI Engineer
Reports directly to (Title): Senior Manager - AI Engineering
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,…
Skills
- guardrails
- Python
- google-cloud-platform
- microsoft-azure
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