Artificial Intelligence Engineer

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Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 18-22 Lacs PA

Job Description

We are seeking an experienced and visionary Lead Agentic AI Engineer to spearhead the adoption and implementation of autonomous and agent-based AI solutions across the enterprise. This role will be responsible for shaping AI strategy, driving transformation programs, and developing scalable agentic AI architectures that align with organizational goals.

As a key leader, you will work at the convergence of advanced AI technologies, enterprise architecture, and digital transformation to enable intelligent, autonomous decision-making systems throughout the organization.

Key Responsibilities

• Develop and execute the enterprise Agentic AI strategy and long-term roadmap aligned with business priorities
• Lead large-scale transformation initiatives focused on autonomous and agent-based AI systems
• Design, architect, and implement scalable AI agents and autonomous decision-making frameworks
• Establish AI governance, compliance, and responsible AI practices for enterprise deployment
• Drive cross-functional execution of complex AI programs and initiatives
• Partner with business and technology stakeholders to embed AI solutions into operational workflows
• Build and manage strategic relationships with technology vendors, partners, and ecosystem stakeholders
• Foster innovation and contribute thought leadership in the evolving Agentic AI landscape

• Proven expertise in Agentic AI, autonomous systems, and LLM-powered agent frameworks
• Strong hands-on experience in AI architecture, solution design, and scalable system development
• Solid understanding of AI governance, compliance standards, and risk management frameworks
• Experience designing and deploying enterprise-scale AI platforms and solutions
• Demonstrated technical leadership and program management capabilities
• Ability to translate complex business challenges into practical AI-driven solutions

• Experience working with multi-agent systems and orchestration frameworks
• Exposure to Generative AI, Large Language Models (LLMs), and decision intelligence platforms
• Strong understanding of enterprise AI adoption, scalability, and operational challenges
• Familiarity with cloud ecosystems such as AWS, Azure, or Google Cloud Platform (GCP)

• Enterprise Agentic AI Architecture (3+ years preferred)
• AI Governance, Risk, and Compliance
• Strategic Planning and Execution
• Technical and Team Leadership
• Vendor and Technology Ecosystem Management
• Executive Stakeholder Management, including C-suite collaboration
• Industry Thought Leadership and Innovation Advocacy
• Exposure to M&A technical due diligence processes is an added advantage