AI Project Lead

Job Description: AI Project Lead

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.