Technical Project Manager

Artizent; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Artizent in Bengaluru seeks a Senior Technical Project Manager to lead end-to-end AI-led technology projects. You will drive delivery, governance and client collaboration for enterprise applications built on .NET/Java.

The role requires 12–15 years of IT experience, strong APAC/BNP client handling, and expertise in Fixed Price and T&M engagements within the Banking/Financial Services domain. A BE/B.Tech/MCA background is expected.

Qualifications

• 12–15 years of overall IT experience with significant project/delivery management.
• Must have recently led AI, ML, Generative AI, Data Science projects.
• Experience delivering enterprise applications using .NET or Java technologies.
• Strong experience managing Fixed Price and T&M engagements.

Responsibilities

• Manage end-to-end delivery of AI, ML, Generative AI and enterprise apps.
• Own project scope, schedules, budgets, resources, quality, risks and delivery commitments.
• Handle Fixed Price and T&M projects, including estimation, milestones, billing and margins.
• Coordinate with AI architects, data scientists, engineering teams, business analysts and clients.
• Translate business requirements into project plans, timelines and measurable outcomes.
• Drive governance via status reviews, dashboards, steering committees and updates.
• Identify and manage risks related to scope, data readiness, model performance, security and compliance.
• Maintain profitability and customer satisfaction while managing escalations and scope changes.
• Ensure coordination across delivery, sales, presales, finance, infra and security teams.
• Support estimation, proposals, resource planning and transitions from presales to delivery.

Skills

AI project management

Stakeholder management

Agile/Scrum

Jira/Azure DevOps

Education

BE/B.Tech/MCA

Tools

Jira

Azure DevOps

Confluence

MS Project

Job description

Artizent (formerly known as Nous Infosystems) is a CMMI® Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries.

Artizent is built on deep engineering discipline, selective industry focus, and a continued commitment to solving complex business problems for enterprise customers. Our work spans software and product engineering, data and analytics, cloud modernization, quality engineering, automation, and applied AI-enabled solutions, with particular depth in banking, financial services, insurance, and other regulated industries where technology must operate at scale, with precision, resilience, and accountability.

At Artizent, you will apply your expertise to complex, mission-critical challenges and help deliver outcomes that global enterprises depend on every day. If you are looking to grow your career working on high-stakes, high-scale problems for customers who demand reliable execution, this is the place to do it.To know more about us please visit www.artizent.com

We are on the lookout for a senior technical project manager with the following experience and capabilities.

Designation :- Technical Project Manager

Experience: 12–15 years

Education: BE/B.Tech/MCA

Role Overview

We are looking for an experienced Technical Project Manager to lead the end-to-end delivery of AI-led technology projects. The candidate must have recently managed AI, Machine Learning, Generative AI, or Data Science projects and should have prior experience delivering enterprise application development projects using .NET or Java technologies.

The role requires strong experience managing Fixed Price and Time & Material engagements, preferably for clients in the Banking and Financial Services domain.

Key Responsibilities

• Manage the end-to-end delivery of AI, ML, Generative AI, and enterprise application development projects.
• Own project scope, schedules, budgets, resources, quality, risks, and delivery commitments.
• Manage Fixed Price and T&M projects, including estimation, milestone planning, effort tracking, billing, utilization, margins, and change requests.
• Work closely with AI architects, data scientists, engineering teams, business analysts, and client stakeholders.
• Translate business requirements into project plans, deliverables, timelines, and measurable outcomes.
• Drive regular project governance through status reviews, executive dashboards, steering committee meetings, and stakeholder communication.
• Identify and manage risks related to scope, data readiness, model performance, security, compliance, dependencies, and resource availability.
• Manage client expectations, delivery escalations, and scope changes while maintaining project profitability and customer satisfaction.
• Ensure effective coordination across delivery, sales, presales, finance, infrastructure, and security teams.
• Support project estimation, proposal preparation, resource planning, and transition from presales to delivery.

Required Experience and Skills

• 12–15 years of overall IT experience, with significant experience in project and delivery management.
• Must have recently led one or more AI, ML, Generative AI, Data Science, or intelligent automation projects.
• Prior experience managing enterprise application development projects using either .NET or Java technologies is mandatory.
• Strong experience managing both Fixed Price and T&M engagements.
• Experience owning project financials, including budgets, billing, revenue, margins, utilization, and forecasts.
• Working knowledge of Generative AI, Large Language Models, RAG, APIs, cloud platforms, data engineering, and MLOps.
• Experience managing technology or AI projects in the Banking and Financial Services domain is strongly preferred. Exposure to areas such as Digital Banking, Lending, Payments, Risk, Fraud Detection, AML/KYC, Customer Analytics, or Process Automation would be advantageous.
• Strong knowledge of Agile, Scrum, Waterfall, and hybrid project delivery methodologies.
• Experience managing cross-functional and geographically distributed teams.
• Excellent client-facing, stakeholder-management, negotiation, and escalation-management skills.
• Experience using Jira, Azure DevOps, Confluence, MS Project, or similar tools.