We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com.

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth and variety in your career at this point and we would love you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you.

We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while working with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you.

If this excites you, then apply below.

Location: Bangalore (Preferred)

Job Description
Indegene is seeking an experienced and innovative Applied AI Technical Architect to lead the design, evaluation, and implementation of enterprise-grade AI solutions that accelerate business transformation and AI adoption across the organization.
This role operates at the intersection of AI innovation, solution architecture, engineering enablement, and business transformation. The successful candidate will translate business opportunities into scalable AI architectures, reusable technology frameworks, intelligent automation solutions, AI agents, copilots, and production-ready platforms that deliver measurable business outcomes.
The ideal candidate brings a strong blend of technical depth, architectural expertise, consulting mindset, and hands-on experimentation experience. You will collaborate with Business Stakeholders, Product Managers, AI Engineers, Enterprise Architects, Platform Teams, and Service Line Leaders to design scalable, secure, and governable AI solutions that support Indegene's AI-native transformation journey.

Responsibilities:
AI Solution Architecture & Design
•    Design and deliver scalable AI-powered solution architectures aligned with business objectives, enterprise technology standards, and transformation goals.
•    Translate complex business problems into end-to-end AI-enabled workflows leveraging Generative AI, Agentic AI, AI Agents, Copilots, Retrieval-Augmented Generation (RAG), workflow orchestration, and intelligent automation platforms.
•    Develop future-state architecture blueprints covering integrations, governance controls, security considerations, scalability requirements, operating models, and human-in-the-loop processes.
•    Define architectural patterns, reference frameworks, and reusable solution components that support enterprise-wide AI adoption.
•    Evaluate architectural trade-offs and recommend optimal approaches that balance business value, scalability, implementation complexity, cost, and long-term maintainability.
AI Technology Assessment & Platform Strategy
•    Evaluate emerging AI technologies, frameworks, platforms, and ecosystems against business and technical requirements.
•    Assess enterprise AI platforms, GenAI ecosystems, Agentic AI frameworks, intelligent automation solutions, document intelligence platforms, and orchestration technologies.
•    Define technology evaluation criteria covering security, governance, scalability, integration readiness, operational support, performance, and business fit.
•    Conduct proof-of-value assessments, platform comparisons, and architecture reviews to support strategic technology decisions.
•    Provide Build vs Buy vs Partner recommendations supported by technical feasibility, business alignment, and implementation considerations.
Prototype Development & Technical Validation
•    Develop Proof-of-Concepts (PoCs), prototypes, technical demonstrations, and experimental AI solutions to validate business value and technical feasibility.
•    Design and test AI-powered workflows utilizing agents, copilots, orchestration frameworks, retrieval systems, and intelligent automation capabilities.
•    Demonstrate emerging AI capabilities and solution concepts to business stakeholders, transformation teams, and leadership groups.
•    Identify technical risks, integration challenges, scalability constraints, and implementation dependencies early in the solution lifecycle.
•    Convert successful prototypes into implementation-ready architecture specifications and engineering roadmaps.
AI Engineering Enablement & Standards
•    Establish reusable architecture frameworks, accelerators, prompt libraries, agent templates, integration patterns, and implementation playbooks.
•    Define enterprise standards for AI orchestration, RAG implementations, context engineering, memory management, agent collaboration, and intelligent workflow automation.
•    Build and maintain architecture repositories that enhance consistency, reusability, and delivery speed across AI initiatives.
•    Create implementation guidelines and technical best practices that improve AI engineering maturity across teams.
•    Capture and institutionalize lessons learned from pilots, implementations, and innovation programs to strengthen organizational capabilities.
Engineering Collaboration & Architecture Governance
•    Partner with Product Managers, Engineering Leads, Platform Teams, and AI Solution Architects to refine solution strategies and implementation approaches.
•    Translate conceptual business requirements into detailed architecture designs and technical specifications.
•    Review solution designs and implementation artifacts to ensure adherence to architecture principles, quality standards, and governance requirements.
•    Guide engineering teams on integration strategies, architecture decisions, platform utilization, and technical implementation best practices.
•    Ensure solutions meet enterprise standards for security, compliance, scalability, reliability, observability, and operational excellence.
•    Participate in architecture governance forums, technical design reviews, and enterprise decision-making processes.
Innovation & Emerging Technology Leadership
•    Continuously monitor advancements across AI, Generative AI, Agentic AI, automation, orchestration, and enterprise platform ecosystems.
•    Identify emerging technologies and innovative patterns that can create competitive advantages and accelerate AI transformation outcomes.
•    Explore advanced capabilities including multi-agent systems, autonomous workflows, enterprise copilots, knowledge-driven AI systems, and AI-native operating models.
•    Lead innovation sprints, technology experiments, and architecture evaluations to expand Applied AI capabilities.
•    Contribute to the evolution of Indegene's Applied AI offerings, intellectual property, reusable assets, and strategic technology roadmap.

Desired Profile
•    5–8 years of experience in AI Solution Architecture, Applied AI Engineering, Enterprise Architecture, Intelligent Automation, Digital Transformation, Solution Consulting, or Enterprise Technology Leadership.
•    Demonstrated experience designing and implementing enterprise-scale AI-powered business solutions and digital transformation initiatives.
•    Strong expertise in Generative AI, Agentic AI, AI Agents, Copilots, LLMs, Retrieval-Augmented Generation (RAG), Context Engineering, Memory Architectures, and Orchestration Frameworks.
•    Experience evaluating and implementing modern AI ecosystems such as Azure AI, OpenAI, Claude, Vertex AI, Amazon Bedrock, Microsoft Copilot Studio, Agentforce, LangChain, LangGraph, CrewAI, AutoGen, and similar platforms.
•    Strong understanding of enterprise integration patterns, APIs, workflow orchestration, cloud-native architectures, automation platforms, and scalable system design.
•    Experience developing architecture standards, technical governance frameworks, reusable accelerators, and engineering best practices.
•    Proven ability to collaborate effectively with Business Leaders, Product Managers, Engineering Teams, Platform Owners, and Executive Stakeholders.
•    Excellent problem-solving, technical consulting, communication, and stakeholder management skills.
•    Prior experience in Healthcare, Life Sciences, Commercial Operations, Medical Affairs, Clinical, Regulatory, or Enterprise Services environments will be a strong advantage.
•    Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Master's degree preferred.

Key Competencies
•    Applied AI Solution Architecture
•    Generative AI & Agentic AI
•    Enterprise AI Platforms
•    AI Agents & Copilot Development
•    Retrieval-Augmented Generation (RAG)
•    AI Orchestration & Workflow Automation
•    Cloud & Enterprise Integration Architecture
•    Technical Consulting & Architecture Governance
•    AI Engineering Enablement
•    Innovation & Emerging Technology Assessment
•    Product & Engineering Collaboration
•    Scalable System Design & Implementation

Preferred Technology Exposure
AI & Generative AI
•    Large Language Models (LLMs)
•    Generative AI
•    Agentic AI
•    AI Agents
•    Enterprise Copilots
•    Prompt Engineering
•    Context Engineering
•    Memory Architectures
•    Multi-Agent Systems
•    Human-in-the-Loop Architectures
•    Retrieval-Augmented Generation (RAG)
Platforms & Frameworks
•    Azure AI Services
•    Azure OpenAI
•    Microsoft Copilot Studio
•    Amazon Bedrock
•    Google Vertex AI
•    Claude
•    Salesforce Agentforce
•    LangChain
•    LangGraph
•    CrewAI
•    AutoGen
•    UiPath
•    Automation Anywhere
•    n8n
Technical Capabilities
•    API Design & Integration
•    Workflow Orchestration
•    Enterprise Architecture
•    Solution Engineering
•    Cloud-Native AI Platforms
•    Automation Frameworks
•    Low-Code / No-Code AI Platforms
•    Microservices & Distributed Systems
•    Data & Knowledge Architecture

EQUAL OPPORTUNITY
Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate's merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.