Technical Lead AI/ML

Must Have Technical/Functional Skills

• 10+ years of software engineering experience with strong expertise in system design and scalable architecture
• Extensive experience in Python, APIs, microservices, and cloud-native application development
• 4+ years of hands-on experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, Agent Builder, and AI/ML platforms
• Experience designing and delivering enterprise AI solutions using LLMs, RAG, multi-agent systems, and Agentic AI frameworks
• Experience leading customer-facing solution architecture, technical consulting, and executive stakeholder engagements
• Experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI applications
• Expertise in cloud architecture, Kubernetes, containerization, DevOps, CI/CD, and platform engineering
• Strong experience in data engineering, vector databases, knowledge retrieval systems, and AI governance

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

Pay

$130,000-$150,000 a year