AI/ML Architecture & Delivery Leader

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Role: AI/ML Architecture & Delivery Leader
Employment: Full Time
Experience: 8 to 12 Years
Salary: Not Disclosed
Location: PAN INDIA Remote
Programmers.IO is currently looking to hire AI/ML Architecture & Delivery Leader on Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field. 8+ years of overall software engineering experience. Minimum 5+ years leading AI/ML architecture and delivery initiatives. Proven experience delivering enterprise-scale AI and Generative AI programs. Demonstrated expertise in project estimation, presales, and solutioning. Experience engaging directly with clients, leadership teams, and business stakeholders. Technology. If you think you are a good fit and willing to work from PAN INDIA Remote location.Please apply with you resume or share your resume at ayushi.khandelwal@programmers.ai
Experience Required: 8 to 12 Years
We are seeking an experienced and highly hands-on AI/ML Architecture & Delivery Leader who has progressed through the ranks from a strong software engineering background, with deep expertise in Python development and architecture, and has evolved into a trusted AI/ML solution architect.
This is not a pure people-management role. We are looking for a technology leader who remains actively involved in solution design, architecture reviews, technical decision-making, project estimation, client engagements, and delivery execution.
The ideal candidate should possess the ability to conceptualize, architect, estimate, lead, and successfully deliver end-to-end AI initiatives while also contributing to the company's growth by identifying, shaping, and driving new AI opportunities and offerings.
Key Responsibilities
AI & Solution Architecture
Design end-to-end AI/ML and Generative AI solutions for enterprise-scale projects.
Define scalable architectures, technology stacks, deployment models, and integration strategies.
Lead architecture reviews and ensure adherence to engineering best practices.
Drive technical design decisions across multiple concurrent engagements.
Establish reusable frameworks, accelerators, and AI delivery methodologies.
Hands-On Technical Leadership
Remain actively involved in coding, prototyping, proof-of-concepts, and solution validation.
Guide teams in Python-based development, code quality, system design, and performance optimization.
Review architecture, implementation plans, and critical code components.
Mentor engineering teams on AI, ML, LLMs, agentic AI, RAG architectures, and cloud-native development.
Delivery Ownership
Own AI project execution from discovery through production deployment.
Lead requirement analysis, technical planning, execution governance, risk management, and stakeholder communication.
Ensure delivery quality, scalability, security, and business outcomes.
Drive project health reviews, milestone tracking, and execution excellence.
Estimation & Presales Leadership
Prepare solution estimates, project plans, resource models, and delivery roadmaps.
Participate in client discussions, workshops, RFP responses, and technical presentations.
Translate business requirements into actionable technical solutions and implementation strategies.
Evaluate feasibility, effort, timelines, costs, and delivery risks.
AI Practice Growth & Innovation
Identify emerging AI trends, technologies, and business opportunities.
Collaborate with leadership to develop AI service offerings and solution accelerators.
Support business development efforts by engaging with prospects and helping convert opportunities into projects.
Act as a technology evangelist and thought leader for AI initiatives within the organization.
Required Technical Skills
Core Engineering Background
Expert-level Python development experience (10+ years preferred).
Strong foundation in software architecture, distributed systems, APIs, microservices, and scalable application design.
Experience designing enterprise-grade applications from the ground up.
AI/ML Expertise
Extensive experience with:
Machine Learning
Deep Learning
NLP
Generative AI
Large Language Models (LLMs)
Agentic AI Systems
RAG Architectures
Fine-Tuning Strategies
Frameworks & Tools
PyTorch
TensorFlow
Scikit-Learn
LangChain
LlamaIndex
Hugging Face
OpenAI APIs
Claude APIs
Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)
Cloud & DevOps
AWS / Azure / GCP
Docker
Kubernetes
CI/CD Pipelines
MLOps Frameworks
Model Deployment & Monitoring
Data Technologies
SQL & NoSQL Databases
Data Engineering Pipelines
Data Warehousing Concepts
Streaming Data Architectures
Leadership Expectations
The Successful Candidate Must Demonstrate
Strong technology ownership mindset.
Ability to lead by example through technical contribution.
Executive-level stakeholder management.
Commercial understanding of project economics and delivery profitability.
Capability to shape and build a rapidly growing AI practice.
Strong client-facing communication and consulting skills.
Ability to mentor senior engineers, architects, and technical leads.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field.
8+ years of overall software engineering experience.
Minimum 5+ years leading AI/ML architecture and delivery initiatives.
Proven experience delivering enterprise-scale AI and Generative AI programs.
Demonstrated expertise in project estimation, presales, and solutioning.
Experience engaging directly with clients, leadership teams, and business stakeholders.
Skills And Knowledge
Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field. 8+ years of overall software engineering experience. Minimum 5+ years leading AI/ML architecture and delivery initiatives. Proven experience delivering enterprise-scale AI and Generative AI programs. Demonstrated expertise in project estimation, presales, and solutioning. Experience engaging directly with clients, leadership teams, and business stakeholders.

Work arrangement
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