Artificial Intelligence Engineer (Bengaluru)

Artificial Intelligence Engineer (Bengaluru)

14 Oct
|
ICE
|
Bengaluru

14 Oct

ICE

Bengaluru

Company: People Impact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 18-22 Lacs PA

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

Required Skills & Qualifications

- Proven expertise in Agentic AI, autonomous systems, and LLM-powered agent frameworks
- Solid 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

Preferred Skills

- 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)

Key Competencies

- 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

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 ICE
📍 Bengaluru

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