SB-1290 Technical Delivery Lead-AI

Location: Hyderabad, India; Kochi, India

Department: Project Management

Experience: 12 + Years

Technical Delivery Lead - Job Description

Position Overview

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
• Provide career guidance and growth paths for team members
• 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

• 12+ 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
• Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Proficiency in modern technology stacks and programming languages (Python strongly preferred for AI workloads)
• Strong understanding of DevOps, CI/CD practices, and automation
• Experience with Agile/Scrum methodologies and project delivery frameworks

AI/ML Specific Skills (Critical)

• RAG Architecture: Proven experience building RAG-based systems and intelligent agents with retrieval mechanisms
• LLM Implementation: Hands-on experience working with LLM APIs (OpenAI GPT models, Anthropic Claude, Google Gemini, or similar) and open-source alternatives
• Fine-tuning & Training: Experience with fine-tuning pre-trained models on custom datasets using techniques like LoRA, full fine-tuning, or RLHF
• Vector Databases: Practical experience with vector databases (Pinecone, Weaviate, Milvus, Qdrant, pgvector, or similar) for semantic search
• Embedding Models: Understanding of embedding generation, model selection, and optimization strategies
• Natural Language Processing: Strong background in NLP techniques including:
• Semantic search and information retrieval
• Text classification and named entity recognition
• Sentiment analysis and intent detection
• Document processing and chunking strategies
• AI Application Patterns: Experience implementing:
• Conversational AI and chatbot architectures
• Context management and conversation history handling
• Multi-turn dialogue systems
• Agent-based architectures with tool usage
• Guardrails and content filtering
• Prompt Engineering: Expertise in designing effective prompts, managing context windows, and optimizing LLM responses
• AI Tools & Frameworks: Familiarity with LangChain, LlamaIndex, Semantic Kernel, or similar orchestration frameworks

Leadership & Soft Skills

• Proven track record of leading technical teams and delivering complex projects
• Strong problem-solving and analytical thinking capabilities
• Excellent communication skills with ability to explain AI capabilities and limitations to non-technical audiences
• Experience working in IT services/consulting environments with multiple concurrent engagements
• Ability to balance technical excellence with business pragmatism and delivery constraints
• Strong mentoring and team development capabilities

Preferred Qualifications

• Experience working across diverse business models (fixed budget projects, T&M engagements)
• Cloud platform certifications (AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect)
• Experience with open-source LLMs (Llama, Mistral, Falcon) and local deployment strategies
• Knowledge of AI/ML model evaluation metrics and quality assurance approaches
• Experience with real-time streaming applications and websocket implementations for AI chat interfaces
• Background in setting up delivery practices and technical governance frameworks
• Exposure to PMO processes and delivery excellence initiatives
• Experience with multi-modal AI applications (text, image, audio processing)
• Understanding of AI cost optimization and inference efficiency techniques

What We Offer

• Opportunity to shape technical delivery standards for a growing IT services organization
• Work on cutting-edge AI projects using latest LLM technologies and RAG architectures
• Collaborative environment with focus on innovation and continuous learning in rapidly evolving AI space
• Competitive compensation and benefits package
• Career growth opportunities in technical leadership and management tracks
• Access to training and certifications in emerging AI technologies

• 🚀 Innovation is at the Core: Work on transformative projects involving Generative AI, cloud-native development, IoT, and modern microservices-based systems.
• 👨‍💻 Engineering Excellence: Collaborate with highly skilled teams and technical leaders who value quality, performance, and scalable architectures.
• 🌱 Growth is Continuous: We prioritize learning with access to certifications, hands-on training, and mentoring to keep your skills future-ready.
• 🌍 Global Engagement: Solve real-world challenges for international clients across diverse industries like fintech, logistics, healthcare, and eCommerce.
• 🤝 Culture of Trust & Ownership: Enjoy a supportive and inclusive environment where ideas are valued, autonomy is encouraged, and initiative is rewarded.

• ESOP Program – Be a stakeholder in our journey with employee stock options that reward your contribution.
• Flexible Work Environment – A hybrid/remote-friendly culture designed for productivity and work-life balance.
• Learning & Development – Sponsored certifications, access to learning platforms, and career advancement tracks.
• Performance Bonuses – Recognition and rewards for going above and beyond.
• Health & Wellness – Comprehensive medical insurance plans for employees and their families.
• Leadership Access – Regular interaction with senior leadership and opportunities to influence strategy and innovation.