Head of AI & Software Engineering Delivery

Mini-Circuits; Melville (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Mini-Circuits seeks a Sr. Manager AI & Software Engineering to lead the engineering delivery for AI, software, digital applications, and AI-enabled platforms.

The role drives a disciplined, scalable, production-ready engineering capability across MC-CORE, Ask MC, PIM AI, and Project Everest AI enablement. You will partner with IT Operations, Enterprise Data Architecture, Cybersecurity and external vendors to establish cadence, standards, and handoffs.

Qualifications

• Bachelor’s degree in software engineering, computer science, or a related field.
• Master’s degree preferred.
• 7-10 years of progressive experience in enterprise application design and systems development, including system integrations with ERP systems, preferably with SAP.
• 5+ years of project management responsibility, demonstrating leadership skills, and possessing a track record of managing technical staff.
• 5+ years of leading large-scale, company-wide systems initiatives to successful execution.
• Possess a digital and innovative mindset / knowledge base / and experience that goes beyond simply awareness or managing; must have a deep technical understanding and track record of success in a modernization journey.
• Understands the company's business goals and objectives, the business process, and impact of individual actions on business performance. Applies cost-effectiveness, competitiveness and profitability to business decisions and initiatives.
• Experience implementing AI initiatives as part of a comprehensive IT strategy.
• Experience working in large, complex, dynamic organizations with multiple business groups and broad geographic reach and the ability and tolerance to work in an ambiguous environment.
• Experience in the hi-tech manufacturing industry preferred.
• The role requires exceptional communication skills with the ability to leverage internal and external networks in a fast pace, growing organization

Responsibilities

• Lead AI and software engineering delivery across MC-CORE, Ask MC, PIM AI, Project Everest AI enablement, and future AI product pods.
• Own the AI/software engineering delivery operating system, including backlog structure, prioritization discipline, sprint or delivery cadence, release planning, dependency management, blocker escalation, and delivery scorecards.
• Translate AI and digital strategy into executable engineering roadmaps, product backlogs, release plans, technical milestones, and measurable business outcomes.
• Coordinate AI platform resources, AI product development resources, global software developers, consultants, and vendor engineering contributors into a common engineering cadence with clear ownership and deliverables.
• Partner with the VP, AI & Digital Technologies to ensure engineering priorities align with business strategy, operating model maturity, governance requirements, and investment decisions.
• Partner with IT Operations to ensure production readiness, environment readiness, support handoff, identity/access alignment, operational documentation, incident process, and service transition before AI/software release.
• Partner with Enterprise Data Architecture to ensure AI and software solutions consume approved data sources, documented lineage, defined data quality rules, semantic definitions, and AI-ready datasets.
• Partner with Cybersecurity and Architecture/TDA stakeholders to ensure solutions meet architecture standards, security controls, access rules, data classification requirements, and production-risk expectations.
• Establish and maintain engineering standards, including coding practices, documentation expectations, code review discipline, testing expectations, DevOps/release controls, technical decision logs, issue escalation pathways, and exception management.
• Ensure MC-CORE evolves as a reusable enterprise AI platform, supporting secure retrieval patterns, APIs, evaluation frameworks, model gateway patterns, logging, monitoring, and reusable integration approaches.
• Ensure Ask MC and other AI products are developed with named business owners, SME validators, approved data sources, release plans, adoption metrics, and support models.
• Coordinate global AI/software engineering capacity, including internal and distributed developers, so work is assigned by product/pod priorities rather than informal task routing.
• Maintain visibility into resource capacity, skill gaps, vendor dependency, technical debt, delivery risks, support implications, and future staffing needs.
• Partner with PMO / Vendor Governance to manage delivery health, RAID items, vendor scorecards, SOW acceptance criteria, documentation deliverables, knowledge-transfer evidence, and executive reporting inputs.
• Implement engineering quality controls to reduce rework, improve release confidence, and ensure that pilots, prototypes, and production capabilities follow appropriate quality and governance expectations.
• Support 2027 planning by providing evidence-based recommendations for additional engineering, platform, MLOps, data engineering, QA, PMO, or product-pod capacity.

Skills

Leadership

Project Management

AI/ML

Software Engineering

Enterprise Architecture

Education

Bachelor's degree in software engineering or computer science

Master's degree preferred

Tools

SAP

Job description

Mini-Circuits seeks a Sr. Manager AI & Software Engineering to lead the engineering delivery for AI, software, digital applications, and AI-enabled platforms.

The role drives a disciplined, scalable, production-ready engineering capability across MC-CORE, Ask MC, PIM AI, and Project Everest AI enablement. You will partner with IT Operations, Enterprise Data Architecture, Cybersecurity and external vendors to establish cadence, standards, and handoffs.