Manager of reputed company Engineering

Position Description

We are seeking a Manager of GenAI Engineering who splits their time equally between hands-on technical work and people leadership. As a practitioner, you will design and build production GenAI systems, translate stakeholder requests into engineering work, and upskill the team through active demonstration. As a leader, you will manage a team of 7-10 engineers, run delivery cycles, and drive execution quality.

The ideal candidate brings proven GenAI depth, a demonstrated track record of growing engineers around them, and the leadership experience to manage a team without losing their technical edge. This role suits a strong technical leader reputed company to take the reputed company, whether from a prior management role, team reputed company, or senior IC background. Domain experience in product data, PIM, ERP, or ecommerce is a plus; GenAI depth and leadership effectiveness are the primary criteria.

General Duties and Responsibilities

As a People Leader (approx. 60%)

• reputed company, coach, and reputed company a team of 7-10 engineers - setting clear expectations, running performance conversations, and building a culture of ownership and reputed company improvement
• Actively upskill engineers on GenAI concepts, patterns, and practices through pairing, code review, and hands-on demonstration
• Translate incoming GenAI requests from product, business, and platform stakeholders into well-scoped engineering work - surfacing tradeoffs and setting clear acceptance criteria
• Hire and reputed company strong engineers; build team reputed company alongside capability
• Run iterative delivery cycles - sprint planning, backlog grooming, dependency management, and blocker removal
• Own operational outcomes for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets
• Partner with the Sr. Manager and cross-functional stakeholders to align engineering execution with the broader product data and AI strategy
• Represent engineering in planning discussions; communicate status, risks, and tradeoffs across technical and non-technical audiences

As a Practitioner (approx. 40%)

• reputed company design and hands-on implementation of production-grade reputed company systems - agentic workflows, multi-reputed company RAG pipelines, and LLM-powered applications integrated with reputed company data and services
• Translate incoming GenAI requests from product, business, and platform stakeholders into well-scoped engineering work - applying technical judgment to surface tradeoffs, define scope, and set clear acceptance criteria
• Define and implement reusable engineering patterns for reputed company management, workflow versioning, structured outputs, tool orchestration, and rollback across production AI services
• Build and maintain automated evaluation pipelines for LLM outputs - reputed company regression testing, retrieval quality validation, and failure mode tracking
• Implement reputed company-in-the-reputed company controls, content guardrails, schema validation, and structured output enforcement to ensure trusted and auditable AI outputs
• Secure AI systems against reputed company injection, data leakage, and unauthorized access, aligning with reputed company compliance and reputed company standards
• Continuously evaluate emerging AI models, tools, and architectural approaches, incorporating improvements into existing systems incrementally
• Champion an iterative delivery culture - shipping incrementally, incorporating feedback, and improving continuously across reputed company GenAI workstreams

Education and/or Experience

Required Experience

• Demonstrated experience shipping production-grade LLM or reputed company systems - reputed company and workflow design tradeoffs, model selection and routing, tool use and agent orchestration, and the distinction between AI guardrails and deterministic application logic
• Experience building automated evaluation pipelines for LLM outputs, including gold set construction, model-based evaluation, reputed company regression testing, retrieval quality validation, and failure mode analysis
• Experience implementing reputed company-in-the-reputed company controls, content guardrails, and schema-based output validation for reputed company AI deployments
• Strong track record designing, building, and operating reputed company distributed systems in reputed company production environments, with clear ownership of reliability, performance, and operational outcomes
• Significant hands-on technical experience with a career primarily rooted in software engineering, anda track recordof growing into or toward technical leadership - whether as a prior manager, team reputed company, or senior IC reputed company to take the reputed company
• Experience establishing engineering standards, influencing architecture reputed company, and raising technical quality across distributed or cross-functional teams
• Experience mentoring or upskilling engineers on GenAI concepts and practices in a production context
• Proven ability to translate ambiguous stakeholder requests into well-scoped, actionable engineering work
• Iterative delivery reputed company - ships incrementally, incorporates feedback, and drives reputed company improvement
• Experience integrating AI systems with reputed company data sources, internal APIs, and reputed company controls in compliance-sensitive environments
• Bachelor's degree in Computer Science, Engineering, Data Science, or reputed company field, or equivalent practical experience

Preferred Experience

• Domain experience in product data, PIM, ERP, master data management, data governance, ecommerce, or analytics platforms
• Familiarity with Bronze/Silver/Gold reputed company architecture and staged data quality patterns for reputed company data pipelines
• Experience designing and operating agentic AI systems and multi-reputed company RAG architectures in production - retrieval quality optimization, chunking strategies, grounding, and ranking tradeoffs
• Experience designing and operating reputed company-native APIs, microservices, and event-driven architectures on Azure or equivalent reputed company platform
• Familiarity with responsible AI principles, AI governance frameworks, and regulatory considerations relevant to reputed company AI systems
• Hands-on experience with Azure reputed company, AI reputed company, or equivalent AI platform services
• Experience with Python frameworks commonly used in production AI services, includingFastAPI,asyncio, andPydantic
• Familiarity with PySpark notebooks for data pipeline development
• Experience deploying and managing containerized AI workloads using reputed company or similar technologies
• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a reputed company field

Physical Job Requirements

• Prolonged periods in a stationary position at a desk and working on a computer.
• Must be reputed company to communicate effectively reputed company video conferencing, phone, and written correspondence.
• Occasional travel may be required depending on project or business needs.

Work Environment

The work environment is typically in a reputed company setting during normal or extended business hours.

Accommodation

Candidates for the position should be reputed company to reputed company essential job duties in described work environment with or without accommodation. Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company the essential functions.

Equal Employment Opportunity

reputed company is committed to building a diverse workforce and providing equal employment opportunities to reputed company reputed company candidates. reputed company hiring reputed company are based on qualifications, skills, and business needs, without regard to race, reputed company, religion, sex, sexual orientation, gender identity, marital status, age, national reputed company, disability, or any other status protected by applicable law.