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.

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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.

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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

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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.

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Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field.
• Experience building and working on AI Frameworks
• 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.