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AI Technical Manager – Generative AI & Agentic Systems

Job in 201301, Noida, Uttar Pradesh, India
Listing for: Atomic North
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Job Description & How to Apply Below
AI Technical Manager – Generative AI & Agentic Systems

About Atomic North

Atomic North Private Limited () is the India-based global delivery organization supporting North American clients through its parent company, Supra ITS (). Atomic North delivers services across Managed IT, Cloud, Cybersecurity, Application Services, and Business Operations, operating in a 24×7 global delivery model.
As an extension of client-facing teams, Atomic North takes end-to-end ownership of service outcomes, with a strong focus on operational discipline, clear communication, and consistent service quality. The organization serves as the central delivery and operations backbone for Supra’s Managed IT, Application Services, and BPO businesses.

As an integral part of Supra ITS’ international ecosystem, Atomic North works in close collaboration with North American leadership teams, ensuring transparency, governance, and seamless global delivery.

About Supra ITS

Founded in 1999, Supra ITS is a globally trusted technology services partner delivering Managed IT Services, Cybersecurity, Digital Transformation, Application Services, and Business Process Outsourcing. Headquartered in Brampton, Ontario, Supra ITS operates across Canada, the United States, the United Kingdom, and India.

Supra’s Network Operations Centers (NOCs) in Canada and India provide 24×7 coverage, ensuring operational continuity and a consistently high client experience. Its end-to-end service portfolio spans infrastructure management, private and hybrid cloud, security operations, service desk, and disaster recovery.

With a security-first, SLA-driven approach, Supra ITS takes full ownership of client IT environments, enabling customers to focus on business growth while Supra ensures reliability, security, and scalability.

Canon Partnership

In 2021, Canon Canada made a strategic equity investment in Supra ITS, reflecting a shared commitment to secure, innovative, and customer-centric technology solutions.

Today, Canon and Supra operate as an integrated partnership combining Canon’s global innovation and enterprise strength with Supra’s agility and managed services expertise to drive rapid growth across North America.

Together, Canon and Supra are redefining enterprise technology delivery through strong engineering, operational excellence, and deep customer relationships.

Job Title:

AI Technical Manager – Generative AI & Agentic Systems

Experience:

10+ Years

Location:

Preferably Noida

Role Overview

We are seeking an experienced  AI Technical Manager  with deep expertise in  Generative AI and Agentic AI systems  to lead the design, development, and deployment of next-generation intelligent applications.

This role requires a strong hands-on technical background combined with team leadership capabilities. You will manage a team of AI engineers while actively contributing to system architecture, experimentation, and production deployment of LLM-powered and agent-based systems.

Key Responsibilities

Business Growth

Support Sales in AI-led proposals and client workshops
Drive AI-led deal conversion
Define pricing models (project-based, subscription, managed AI)
Lead AI discovery workshops with enterprise clients

Technical Leadership

Architect and oversee development of  Generative AI applications  using Large Language Models (LLMs).
Design and implement  Agentic AI systems , including multi-agent workflows, tool use, memory systems, and reasoning pipelines.
Lead the development of retrieval-augmented generation (RAG) and knowledge-grounded AI systems.
Guide model selection, prompt strategies, evaluation frameworks, and performance optimization.
Ensure robustness, observability, and reliability of AI systems in production.

Team Management

Manage and mentor a team of AI/ML engineers and applied researchers.
Drive sprint planning, code reviews, architectural discussions, and delivery timelines.
Foster a strong engineering culture focused on experimentation, ownership, and quality.
Collaborate cross-functionally with Product, Engineering, and Leadership teams.

System Architecture & Deployment

Oversee end-to-end AI pipelines including:

Data ingestion & preprocessing
Embedding and vector search…
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