Job Description:

Must Have Technical/Functional Skills
Must have 10+ years of software engineering experience with solid 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 solid experience in data engineering, vector databases, knowledge retrieval systems,

and AI governance.

Preferred Skills (Positive 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 Hyderabad (India)
🏢 Tata Consultancy Services
📍 India