AI Technical Delivery Lead

Role-AI Technical Delivery Lead

Location-Kochi

Experience-10+ Years

Position Overview

We are seeking an experienced AI Technical Delivery Lead to drive the successful delivery of complex, enterprise-grade applications while ensuring technical excellence and operational efficiency. This role will be instrumental in establishing delivery standards and best practices across our diverse project portfolio, with a strong focus on AI-powered intelligent applications.

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AI Technical Delivery Lead

- Job Description

Experience

Required:

10+ years in software development and technical delivery

Key Responsibilities

Technical Leadership & Architecture

- Lead the design and development of complex, scalable applications across cloud-native architectures
- Drive technical decision-making for architecture patterns, technology stack selection, and implementation approaches
- Establish and enforce coding standards, design patterns, and technical best practices across delivery teams
- Provide hands-on technical guidance and code reviews to ensure quality and maintainability
- Stay current with emerging technologies and evaluate their applicability to client solutions

AI-Powered Application Development

- RAG Systems & AI Agents:
Lead the design and implementation of Retrieval-Augmented Generation (RAG) architectures for building intelligent AI agents and conversational systems
- LLM Integration & Fine-tuning:
Architect solutions leveraging existing LLMs (OpenAI, Anthropic, Google, open-source models) with custom training data and domain-specific fine-tuning
- Natural Language Processing:
Build robust natural language search capabilities, semantic search engines, and text understanding systems
- AI Feature Development:
Design and implement AI-powered features including:
- Intelligent document processing and information extraction
- Conversational interfaces and chatbots with context awareness
- Content generation and summarization systems
- Recommendation engines and personalization capabilities
- Automated classification and categorization systems
- Vector Databases & Embeddings:
Architect scalable vector storage solutions and embedding strategies for semantic search and similarity matching
- Prompt Engineering & Optimization:
Establish best practices for prompt design, chain-of-thought reasoning, and output quality optimization
- AI Application Architecture:
Design scalable, production-grade AI systems including:
- Model selection and evaluation frameworks
- Context management and memory systems for AI agents
- Real-time inference optimization and caching strategies
- Cost optimization for API-based LLM usage
- Error handling and fallback mechanisms
- Responsible AI Implementation:
Ensure AI safety practices including content filtering, bias mitigation, hallucination detection, and ethical AI usage

Cloud Platform Expertise

- Design and implement cloud-native solutions leveraging major cloud platforms (AWS/Azure/GCP)
- Drive cloud architecture decisions including microservices, containerization, and serverless patterns
- Optimize cloud infrastructure for performance, scalability, cost-efficiency, and security with particular focus on AI workload requirements
- Architect data pipelines and storage solutions supporting AI/ML workflows
- Lead cloud migration and modernization initiatives

Delivery Management

- Own end-to-end technical delivery across multiple concurrent projects
- Collaborate with Project Managers and PMO to ensure delivery timelines, quality standards, and budget compliance
- Manage technical risks, dependencies, and escalations proactively
- Drive sprint planning, execution monitoring, and release management processes
- Ensure delivery processes align with PMO governance frameworks across fixed budget and T&M engagement models

Team Development & Mentoring

- Build and mentor high-performing technical teams with emerging AI/ML capabilities
- Conduct technical assessments and identify skill development opportunities
- Foster a culture of innovation, continuous learning, and technical excellence
- Lead knowledge sharing on AI best practices and emerging patterns

Stakeholder Management

- Engage with clients as a trusted technical advisor and thought leader in AI solutions
- Translate complex technical concepts (especially AI capabilities and limitations) into business value for stakeholders
- Participate in presales activities including AI solution design and effort estimation
- Build strong relationships across internal teams, clients, and third-party vendors

Required Qualifications

Core Technical Skills

- 10+ years of hands-on experience in software development and technical delivery
- Deep expertise in building complex, scalable, enterprise-grade applications
- Strong experience with at least one major cloud platform (AWS, Azure, or GCP) including:
- Cloud-native architecture patterns (microservices, serverless, event-driven)
- Container orchestration (Kubernetes, Docker)
- Cloud security and compliance frameworks
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