Senior Manager, Engineering - Agentic AI at QAD, Inc.

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, LLM, ERP, Cloud-Native Services, APIs, Knowledge Graph, Domain Ontology, Agent Orchestrator, Reasoning Engine, Agent Runtime, Memory, LLM Gateway, LangGraph, AutoGen, RAG Pipelines, Manufacturing Domain

Industry

Software Development

Description

Company Description Help us build the "System of Action" that supercharges global manufacturing teams. QAD is entering a high-velocity era to architect the world’s first AI-native, agentic ERP. We are moving beyond legacy "systems of record" to build an autonomous platform where humans and AI work as a tag team to redefine how factories operate. Join us at this pivotal moment to build our next generation platform, lead the next generation of the Adaptive Enterprise and turn global speed into strategy. Job Description Ignite Your Future As a Senior Manager of Engineering at QAD, you will be responsible for leading multiple agile teams and Engineering Managers, driving execution excellence while shaping technical solutions for enterprise‑scale platforms. This role is ideal for a leader who thrives at the intersection of people, process, and technology. Active use of AI-native development workflows — Cursor, Claude Code, and CodeRabbit or equivalent — is a baseline requirement, not a nice-to-have. We treat AI augmentation as the standard engineering operating model. Leaders are expected to use these tools personally, set norms for their teams, and demonstrate that AI tooling raises the output of their entire squad. Candidates who view AI tools as optional or experimental are not the right fit for this organization. The Mission: What You'll Be Building You will lead teams delivering key capabilities across QAD’s intelligent, adaptive platform, including cloud‑native services, APIs, and AI‑enabled workflows supporting global manufacturing customers. Track Lead for Agentic AI, defining the 'Semantic Moat' that differentiates QAD's manufacturing intelligence platform. Your Impact/ What you will be doing: Define Knowledge Graph and Domain Ontology strategies for manufacturing-specific AI reasoning Architect the Agentic Platform: Orchestrator, Reasoning Engine, Agent Runtime, Memory, and LLM Gateway Translate cutting-edge AI research into production-grade engineering deliverables Lead two teams Intelligence/Semantic and Agentic Platform EMs, and Principal Engineers www.qad.com Hire top-tier AI engineers in India — you know where they are and what it takes to attract them Qualifications Required Skills & Qualifications 12+ years in software engineering with at least 5 years leading AI/ML or platform teams Has shipped at least one production LLM or agentic system with real SLOs — not a prototype Deep familiarity with agentic frameworks: LangGraph, AutoGen, or equivalent Experience managing P6-level AI engineers — technically credible, not just a delivery manager Manufacturing or ERP domain knowledge Experience building RAG pipelines with domain-specific ontologies at scale The Mindset: Delivery Leader: Owns outcomes and drives teams toward predictable, high-quality delivery. Coach & Multiplier: Develops managers and senior engineers, amplifying their impact. Collaborative Partner: Works effectively across Product, QA, and Architecture. Pragmatic Decision-Maker: Balances ideal architecture with business realities. Growth-Oriented: Champions continuous learning and improvement. Additional Information Why QAD? You will move beyond individual delivery to drive strategic impact across our global platform. You will be instrumental in scaling our intelligent, adaptive platform, leading and mentoring engineering managers and teams to deliver cloud-native services and AI-driven solutions that redefine manufacturing. Join us to work alongside ambitious leaders, define technical strategy, and deliver real-world impact at global scale. Company Description: QAD is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days. QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. About QAD: QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days. QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Time Type: Full Time Department: Engineering Location: India - Pune - Adjunct 0ffice

Responsibilities

This role involves leading multiple agile teams and Engineering Managers to drive execution excellence and shape technical solutions for enterprise-scale, AI-native platforms, focusing on delivering key capabilities across the intelligent, adaptive platform.