Tech Lead- AI

Legato

Gurugram District, Bengaluru

On-site

INR 3,500,000 - 5,500,000

Full time

14 days+

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Job summary

Carelon Global Solutions, a leading healthcare technology partner, seeks a Tech Lead - AI to guide the design, development, deployment and governance of enterprise AI solutions. The role requires a strong blend of full-stack engineering, cloud-native architecture, and hands-on AI/ML expertise.

The successful candidate will lead teams, shape AI roadmaps, and collaborate with product, data science, and security stakeholders to deliver secure, scalable, and business-aligned AI solutions leveraging

Qualifications

  • Experience in AI/ML engineering for enterprise-scale deployments.
  • Strong background in cloud-native architectures and scalable AI services.
  • Proven ability to lead technical teams and collaborate with stakeholders.

Responsibilities

  • Design and develop enterprise-grade AI/ML solutions with modern frameworks.
  • Architect Agentic AI applications leveraging A2A and MCP Protocol.
  • Build retrieval-augmented systems with vectors, embeddings and RAG architectures.
  • Lead cloud-native deployments on AWS/Azure, ensuring security and reliability.
  • Mentor engineers and define AI roadmaps with cross-functional teams.

Skills

Agentic AI
A2A Architectures
MCP Protocol
LLMs
Prompt Engineering
Context Engineering
RAG
Vector Embeddings
AI Solution Design

Job description

Job Title

Tech Lead


Requirement Type

Full-Time Employee


Job Location

Bangalore/Gurugram


Primary Skill

Agentic AI, MCP Protocol, AI/ML, Devops, MLops, Python


ABOUT ELEVANCE HEALTH

Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 112 million individuals across 14 states.


A regular in Fortune 500 list, Elevance Health ranked 18 in 2026. Gail Boudreaux, President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 81st rank on this list.


ABOUT CARELON GLOBAL SOLUTIONS

Carelon Global Solutions (CGS) is a healthcare solutions company simplifying complex operational processes to improve the health of the healthcare system.

Previously known as Legato Health Technologies, Carelon Global Solutions (CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health (Previously Anthem Inc.). CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers.


Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective, and efficient.


OUR MISSION & VALUES

Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More.
Our Values: Leadership | Community | Integrity | Agility | Diversity


JOB RESPONSIBILITY

We are seeking an experienced and innovative Tech Lead - AI to drive the design, development, deployment, and governance of next-generation AI-powered solutions. This role requires a strong blend of full-stack engineering expertise, cloud-native architecture skills, and deep hands-on experience in Artificial Intelligence, Machine Learning, Agentic AI frameworks, and enterprise-scale deployments.

The ideal candidate will have proven experience building intelligent applications utilizing Agent-to-Agent (A2A) frameworks, MCP Protocol, vector-based retrieval systems, prompt engineering, and modern AI orchestration frameworks while leading technical teams and collaborating with cross-functional stakeholders to deliver secure, scalable, and business-aligned AI solutions.

Key Responsibilities
AI Solution Architecture & Development
  • Design and develop enterprise-grade AI and ML solutions using modern AI frameworks, libraries, and tooling.
  • Architect and implement Agentic AI applications leveraging A2A frameworks and MCP Protocol.
  • Build intelligent workflows utilizing LLMs, RAG architectures, vector databases, embeddings, and contextual reasoning.
  • Develop scalable AI services and APIs for production environments.
  • Create robust prompt engineering and context management strategies to improve model accuracy and reliability.
Cloud-Native Engineering
  • Design and implement cloud-native AI solutions on AWS/Azure.
  • Ensure high availability, scalability, reliability, and security of deployed solutions.
  • Optimize cloud infrastructure and AI workloads for performance and cost efficiency.
  • Ensure application maintainability, observability, and performance.
AI/ML Engineering
  • Develop, train, fine-tune, evaluate, and deploy machine learning models.
  • Implement vector embedding pipelines and semantic search solutions.
  • Build Retrieval-Augmented Generation (RAG) architectures for enterprise use cases.
  • Integrate LLMs and foundation models into business applications.
  • Evaluate emerging AI technologies and establish best practices for enterprise adoption.
Leadership & Collaboration
  • Lead technical design discussions and architecture reviews.
  • Mentor engineers and promote AI engineering best practices.
  • Drive project execution and ensure timely delivery of high-quality solutions.
  • Partner with business stakeholders, product teams, architects, and data scientists to define AI roadmaps and implementation strategies.
  • Champion innovation while ensuring regulatory, security, and compliance requirements are met.
Required Technical Skills
AI & Machine Learning
  • Agentic AI Frameworks
  • Agent-to-Agent (A2A) Architectures
  • MCP (Model Context Protocol)
  • Generative AI & Large Language Models (LLMs)
  • Prompt Engineering
  • Context Engineering
  • Retrieval-Augmented Generation(RAG)
  • Vector Embeddings & Semantic Search
  • AI Solution Design & Deployment
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