Principal (Bengaluru)

Principal (Bengaluru)

Job Title Principal – Agentic AI (AI & Data Practice) from Pharma/Life Sciences Domain

Location
Gurgaon, Noida, Bangalore, Pune, Hyderabad.

Role Summary
The 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 Responsibilities
1. Business & Revenue Ownership
Own 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 Leadership
Architect and own a portfolio of Agentic AI solutions, platforms, accelerators, and reusable assets , including:
Multi-agent orchestration frameworks
Autonomous planning and reasoning agents
Domain-specific agent libraries (e.g., commercial, clinical, operations, data management)
Tool-using, memory-enabled, workflow-embedded agents
Ensure solutions are:
Modular and extensible
Secure, governed, and enterprise-ready
Commercially viable and delivery-scalable




Drive IP creation —frameworks, reference architectures, demos, benchmarks, and accelerators.

3. Delivery & Execution Excellence
Provide 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 design
Integration with enterprise data, platforms, and workflows
Responsible AI, governance, and risk management
Establish best practices, delivery playbooks, and quality benchmarks for Agentic AI programs.

4. Team Building & Capability Development
Build and scale a high-caliber team of hands-on Agentic AI experts , including:
Agentic system architects
Applied ML/LLM engineers
AI platform and orchestration specialists
Coach teams to operate at the intersection of business problems, AI reasoning, and system design .
Create a solid internal Agentic AI community of practice , fostering innovation and continuous learning.

5. Partnerships & Ecosystem Development
Design and operationalize profitable partnerships with:
LLM providers
AI infrastructure and orchestration platforms
Cloud and data ecosystem partners
Jointly build co-branded solutions, accelerators, and GTM motions.
Ensure partnerships translate into measurable revenue, differentiation, and speed-to-market .

6. Enterprise Transformation & Internal Adoption
Leverage 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 Presence
Establish 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 Metrics
This role will be measured on:
Agentic AI revenue growth and pipeline
Billability and utilization of Agentic AI experts
Number and quality of commercialized assets and accelerators
Delivery success of complex Agentic AI programs
Partner-driven revenue and joint solutions
Market visibility and thought leadership impact

Qualifications & Experience
Required
20+ 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 architectures
Autonomous agents, planning, reasoning, and tool use
AI system design at enterprise scale
Proven 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 .

Preferred
Familiarity with responsible AI, governance, and enterprise risk controls
Prior experience incubating new AI practices or platforms within a consulting or product organization
Exposure to cloud-native AI platforms and AI infrastructure economics

📌 Principal (Bengaluru)
🏢 Axtria - Ingenious Insights
📍 Bengaluru