Must Have Technical/Functional Skills

- Must have 10+ years of software engineering experience with robust expertise in system design

and scalable architecture.

- Must have extensive experience in Python, APIs, microservices, and cloud-native application development.

- Must have 4+ years of hands-on experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, Agent Builder,

and AI/ML platforms.

- Must have experience designing and delivering enterprise AI solutions using LLMs, RAG,

multi-agent systems, and Agentic AI frameworks.

- Must have experience leading customer-facing solution architecture, technical consulting,

and executive stakeholder engagements.

- Must have experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI applications.

- Must have expertise in cloud architecture, Kubernetes, containerization, DevOps, CI/CD,

and platform engineering.

- Must have strong experience in data engineering, vector databases, knowledge retrieval systems,

and AI governance.

Preferred Skills (Good to Have)

- Excellent communicator with a consulting mindset articulate, conversant, and able to engage business and technical stakeholders with clarity and confidence.

- Hands-on experience with Gemini Enterprise,



and skilled in Gemini Enterprise for Customer Experience (GECX).

- Well versed in the Telecommunications domain (added advantage).

Roles & Responsibilities

- Lead the solution architecture and technical strategy for enterprise AI and cloud transformation initiatives.

- Engage with customers and business stakeholders to translate business challenges into scalable AI solutions.

- Design and oversee the development of AI-powered applications leveraging Gemini, Vertex AI, and Google Cloud services.

- Build and drive complex AI architectures involving RAG, Agentic AI, multimodal AI, and enterprise integrations.

- Lead technical discovery sessions, workshops, PoCs, and customer demonstrations.

- Mentor engineering teams and establish best practices for AI engineering and cloud-native development.

- Collaborate with product, engineering, sales, and partner teams to accelerate AI adoption and business outcomes.

- Define technical roadmaps, governance standards, and operational models for enterprise-scale AI deployments.

- Stay current with emerging AI technologies and apply them to customer scenarios

📌 Forward Deployed Engineer Tech Lead (Immediate Joiners) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru