Job Title

Job TitlePrincipal – Agentic AI (AI & Data Practice) from Pharma/Life Sciences DomainLocationGurgaon, Noida, Bangalore, Pune, Hyderabad.Role SummaryThe Principal – Agentic AI will be the strategic and commercial owner of Axtria’s Agentic AI agenda. This role carries end-to-end accountability for building, scaling, and monetizing Agentic AI capabilities—spanning solution strategy, asset creation, revenue growth, complex delivery oversight, partnerships, and thought leadership.This individual will incubate and industrialize Agentic AI solutions, platforms, and accelerators, embed them into enterprise workflows, and leverage them across client delivery and internal transformation. Success will be measured not by experimentation, but by revenue, adoption, billability, and differentiated market impact.This is a hands-on leadership role—part visionary, part builder, part deal-closer.Key Responsibilities1. Business & Revenue OwnershipOwn Agentic AI revenue growth, with clear annual targets.Define and execute the Agentic AI go-to-market strategy, including offerings, pricing, and value propositions.Partner with Sales and Account Leaders to drive pipeline creation, deal shaping, and deal closure.Ensure Agentic AI solutions move from PoCs to scaled, repeatable, revenue-generating offerings.Be accountable for expert billability and utilization across the Agentic AI talent pool.2. Solution & Asset LeadershipArchitect and own a portfolio of Agentic AI solutions, platforms, accelerators, and reusable assets, including:Multi-agent orchestration frameworksAutonomous planning and reasoning agentsDomain-specific agent libraries (e.g., commercial, clinical, operations, data management)Tool-using, memory-enabled, workflow-embedded agentsEnsure solutions are:Modular and extensibleSecure, governed, and enterprise-readyCommercially viable and delivery-scalableDrive IP creation—frameworks, reference architectures, demos, benchmarks, and accelerators.3. Delivery & Execution ExcellenceProvide hands-on technical and architectural leadership for complex, high-stakes Agentic AI engagements.Act as a trusted advisor to senior client stakeholders on Agentic AI strategy and execution.Ensure high-quality delivery outcomes across:Multi-agent systems designIntegration with enterprise data, platforms, and workflowsResponsible AI, governance, and risk managementEstablish best practices, delivery playbooks, and quality benchmarks for Agentic AI programs.4. Team Building & Capability DevelopmentBuild and scale a high-caliber team of hands-on Agentic AI experts, including:Agentic system architectsApplied ML/LLM engineersAI platform and orchestration specialistsCoach teams to operate at the intersection of business problems, AI reasoning, and system design.Create a strong internal Agentic AI community of practice, fostering innovation and continuous learning.5. Partnerships & Ecosystem DevelopmentDesign and operationalize profitable partnerships with:LLM providersAI infrastructure and orchestration platformsCloud and data ecosystem partnersJointly build co-branded solutions, accelerators, and GTM motions.Ensure partnerships translate into measurable revenue, differentiation, and speed-to-market.6. Enterprise Transformation & Internal AdoptionLeverage Agentic AI assets to transform internal delivery, analytics, and operational workflows.Drive adoption of Agentic AI across internal teams to improve productivity, quality, and scalability.Position Agentic AI as a core enterprise capability, not a niche innovation lab.7. Thought Leadership & Market PresenceEstablish Axtria as a credible leader in Agentic AI, not just GenAI experimentation.Publish whitepapers, frameworks, and POVs on Agentic AI adoption at scale.Represent Axtria in client forums, industry events, executive roundtables, and analyst conversations.Influence C-suite conversations around autonomous decisioning and AI-driven enterprises.Success MetricsThis role will be measured on:Agentic AI revenue growth and pipelineBillability and utilization of Agentic AI expertsNumber and quality of commercialized assets and acceleratorsDelivery success of complex Agentic AI programsPartner-driven revenue and joint solutionsMarket visibility and thought leadership impactQualifications & ExperienceRequired20+ years of experience in AI, Data, Advanced Analytics, or Intelligent Systems with at least 5 years or more in Life Sciences industry.Deep hands-on expertise in:LLMs and multi-agent architecturesAutonomous agents, planning, reasoning, and tool useAI system design at enterprise scaleProven experience owning P&L or revenue targets for AI/technology solutions.Track record of building commercial AI assets, not just custom projects.Strong client-facing credibility with senior executives (CXO / SVP level).Experience leading and scaling high-performance technical teams.PreferredFamiliarity with responsible AI, governance, and enterprise risk controlsPrior experience incubating new AI practices or platforms within a consulting or product organizationExposure to cloud-native AI platforms and AI infrastructure economics