Applied AI Technical Architect

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 .

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 Indegenes 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 Indegenes Applied AI offerings intellectual property reusable assets and strategic technology roadmap.

Desired Profile
58 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.
Bachelors degree in Engineering Computer Science Information Technology Data Science or a related discipline. Masters 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 candidates 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.