Forward Deployed Engineer Tech Lead (Immediate Joiners)

Must Have Technical/Functional Skills

• Must have 10+ years of software engineering experience with strong 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