AI Project Lead

Job Description: AI Project Lead

Job Location: Nagpur (Work from Office)

Role Overview

SimpleWorks is seeking an experienced AI Projects Lead to manage the end-to-end delivery of

enterprise AI projects. The role requires excellent project management, client communication,

and stakeholder coordination skills along with a strong understanding of AI/ML technologies.

The AI Project Lead will work closely with the engineering teams, product teams, delivery

leadership, and customers to translate business requirements into well-planned, successfully

delivered AI solutions.

Key Responsibilities

AI Project Delivery

 Lead the planning, execution, monitoring, and delivery of AI/ML projects.

 Define project scope, milestones, deliverables, timelines, dependencies, and acceptance

criteria.

 Track progress, identify risks and bottlenecks, and drive timely resolution.

 Ensure projects are delivered on time, within scope, and to agreed quality standards.

 Manage multiple AI projects and proof-of-concepts concurrently.

Client and Stakeholder Management

 Serve as the primary delivery point of contact for customers and internal stakeholders.

 Lead requirement-gathering sessions, project reviews, workshops, and status meetings.

 Translate business requirements into clear technical and functional workstreams.

 Communicate project progress, risks, dependencies, and decisions clearly and

proactively.

 Manage expectations, feedback, escalations, and stakeholder alignment throughout the

project lifecycle.

Cross-Functional Coordination

 Coordinate effectively across AI/ML, Product, Engineering, QA, DevOps, CRM delivery,

and business teams.

 Work closely with the AI Solutions Head on solution architecture, technical feasibility,

and resolution of technical roadblocks.

 Ensure clear ownership, timely handoffs, and alignment between technical and business

teams.

 Support integration of AI capabilities into SimpleCRM and other enterprise platforms.

Team and Resource Management

 Plan work allocation and capacity across AI projects.

 Monitor team productivity, task completion, and resource utilization.

 Conduct regular project and team reviews.

 Coach team members on delivery discipline, documentation, communication, and

customer orientation.

 Support hiring, onboarding, and evaluation of AI/ML resources.

Quality, Governance, and Reporting

 Establish appropriate governance, reporting, documentation, and review mechanisms for

AI projects.

 Ensure adherence to SDLC, Agile, AI/ML development, security, and deployment

standards.

 Track project KPIs, delivery quality, defects, risks, and technical debt.

 Ensure project plans, technical documentation, decisions, and knowledge repositories

remain current.

 Drive continuous improvement through reusable components, automation, and delivery

best practices.

Key Performance Indicators

 On-time and successful delivery of AI projects.

 Customer and stakeholder satisfaction.

 Effective risk, dependency, and escalation management.

 Quality and production readiness of AI solutions.

 Team productivity and resource utilization.

 Accuracy and timeliness of project reporting.

 Reduction in defects, delivery delays, and technical debt.

 Development of reusable AI components and delivery practices.

Required Qualifications

 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine

Learning, Data Science, or a related field.

 5–8 years of experience in software, AI/ML, or technology delivery, including at least

2–3 years managing AI-related projects.

 Proven experience delivering enterprise AI, machine learning, Generative AI, or data

science projects.

 Strong understanding of LLMs, RAG, AI agents, NLP, machine learning, model

deployment, APIs, databases, and MLOps.

 Ability to engage credibly with AI engineers and solution architects without necessarily

being the primary hands-on developer.

 Excellent client communication, stakeholder management, presentation, and leadership

skills.

 Experience managing cross-functional and distributed technical teams.

 Strong project planning, risk management, documentation, and reporting capabilities.

Preferred Qualifications

 Experience delivering enterprise Generative AI, RAG, conversational AI, or intelligent

automation solutions.

 Familiarity with Python, LangChain, Hugging Face, TensorFlow, PyTorch, or similar AI

frameworks.

 Experience with AWS, Azure, or Google Cloud.

 Familiarity with vector databases, AI orchestration, APIs, CI/CD, Docker, and

Kubernetes.

 Experience with Agile/Scrum, JIRA, Azure DevOps, Git, and CRM-based project

reporting.

 Experience supporting pre-sales, solution architecture, customer demonstrations, and

production AI deployments.

 Experience delivering AI solutions within BFSI, healthcare, or other regulated industries.

Ideal Candidate Profile

The ideal candidate combines sufficient AI/ML knowledge to lead technical discussions with the

communication and delivery discipline required to manage customers, teams, timelines, risks,

and cross-functional dependencies. This is primarily a project delivery and stakeholder

leadership role, supported by the AI Solutions Head and specialist AI engineers for deep

technical design and development.