Technical Lead (Gen AI)

Job Specifications/Qualifications

• Between 8-14 years of total software engineering experience, with at least 3+ years in a technical leadership or architectural design capacity.

• Strong experience in designing mission-critical Secure, High Availability, performant solution and deployment in large transaction volume environment.

• Hands-on Coding expertise with deep knowledge on using Github CoPilot, Claude Code and/or similar AI assisted coding tools.

• Designing and implementing multi-agent orchestration, function calling, tool use, long-term memory management, and guardrails.

• Proficient with integration technologies and protocols (APIs,ReST,HTTPS etc..)

• Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI.

• Advanced architectural expertise in Microsoft Azure, or Google Cloud Platform (Azure/GCP preferred), specifically around modern compute (Kubernetes/AKS/EKS, Serverless), IAM, networks, and secure storage.

• 2 to 4 years' experience in CPG, Retail domain.

• Excellent analytical and problem-solving skills, with the ability to think strategically and translate business requirements into actionable architectural designs.

• Strong collaboration skills, working with external technology vendors.

• Learning agility and desire to learn new technology.

• Strong problem analysis, negotiating and influencing skills.

• Proven track record to get things done in a matrixed organization and influencing without authority

• Nice to have - AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF).

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