SimpleWorks
Website:
simple.works
Job details:
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.
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