Artificial Intelligence Project Manager

Exavalu

Kolkata District, Hyderabad, Chennai

Hybride

INR 2 400 000 - 4 200 000

Plein temps

14 jours+

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Résumé du poste

Exavalu Solutions India Pvt Ltd is seeking an experienced AI Project Manager to lead planning, execution, delivery, and governance of AI/ML and GenAI initiatives. The role combines strong project management with deep AI technology understanding, data platforms, and Agile delivery.

You will collaborate with business stakeholders, product teams, data scientists, ML engineers, software engineers, architects, and leadership to deliver AI solutions on time, within budget, and to high quality

Qualifications

Machine learning fundamentals and model development concepts.
Experience with Generative AI and LLMs for real-world use cases.
Familiarity with NLP and computer vision basics.
Strong capabilities in prompt engineering and RAG architectures.
Knowledge of vector databases and embedding techniques.
Experience with AI agents and agentic AI concepts.
Ability to evaluate and monitor models in production (MLOps/LLMOps).

Responsabilités

Own end-to-end delivery of AI/ML and GenAI projects from initiation to production.
Define scope, milestones, budgets, and success metrics for AI programs.
Develop plans, schedules, and resource allocations; manage multiple streams.
Track risks, dependencies, and ensure quality and business outcomes.
Coordinate with data scientists, engineers, and business stakeholders.

Connaissances

Machine Learning fundamentals

Generative AI

NLP / CV

Prompt Engineering

RAG architectures

Vector databases

AI Agents

Model evaluation

MLOps / LLMOps

Outils

AWS

Azure

GCP

Azure OpenAI

Databricks

MLflow

Docker

Kubernetes

REST APIs

CI/CD

Description du poste

We Are Hiring |AI Project Manager | Exavalu Solutions India

Note: Please do not apply if your notice is more than 30 days.

Location: Remote | Hybrid (Kolkata & Chennai)

About Exavalu

Exavalu is a global consulting and technology services company specializing in Digital Transformation, Cloud Engineering, Data & AI Solutions, and enterprise platform implementations.

We serve global clients across Insurance, Healthcare & Life Sciences, and BFSI sectors, delivering scalable and high-impact technology solutions.

Website: https://www.exavalu.com

LinkedIn: https://www.linkedin.com/company/exavalu/

Exavalu Solution India Pvt Ltd is looking for an experienced AI Project Manager to lead the planning, execution, delivery, and governance of AI/ML and Generative AI initiatives. The ideal candidate will combine strong project/program management capabilities with a solid understanding of AI technologies, software engineering, data platforms, and Agile delivery.

The candidate will work closely with business stakeholders, product teams, data scientists, ML engineers, software engineers, architects, and leadership to deliver AI solutions within agreed timelines, budgets, and quality standards.

Key Responsibilities

1. AI Project & Program Management

Own end-to-end delivery of AI/ML and GenAI projects from initiation through production deployment.
Define project scope, objectives, milestones, deliverables, dependencies, and success metrics.
Develop and manage project plans, schedules, budgets, resource allocation, and delivery timelines.
Manage multiple AI projects/work streams simultaneously.
Track project progress, risks, issues, dependencies, and corrective actions.
Ensure delivery against agreed scope, schedule, cost, quality, and business outcomes.

2. AI/ML Delivery

Understand AI/ML project life cycles including data preparation, model development, evaluation, deployment, monitoring, and optimization.
Manage delivery of Generative AI, LLM, NLP, Computer Vision, Machine Learning, Predictive Analytics, and AI Automation initiatives.
Work with technical teams on AI solution architecture, model selection, data requirements, APIs, integrations, and deployment approaches.
Understand concepts such as RAG, embedding, vector databases, prompt engineering, fine-tuning, AI agents, MLOps, and LLM evaluation.
Coordinate POCs, MVPs, pilots, and production implementations.

3. Stakeholder Management

Act as the primary delivery interface between clients/business stakeholders and technical teams.
Conduct project reviews, steering committee meetings, status meetings, and executive reporting.
Translate business requirements into actionable technology deliverables.
Manage stakeholder expectations and communicate project status, risks, and decisions effectively.
Drive alignment across business, product, engineering, data, security, and architecture teams.

Requirements AI / GenAI