Lead AI/ML Engineering (Flex)
About The Position
This position provides technical and delivery leadership for teams developing enterprise AI, analytics, and intelligent software solutions. It leads the design, development, integration, and production deployment of capabilities combining generative AI, machine learning, enterprise data, analytics, and agentic technologies to solve complex business problems and accelerate decision-making. The role partners across Business, Product, Architecture, Engineering, Data Science, and Data Engineering to translate business needs into scalable, secure, reusable solutions. It establishes engineering patterns and best practices for AI orchestration, data integration, evaluation, testing, observability, security, and production operations. Serving as a technical lead and subject matter expert, the position drives adoption of modern AI and software engineering practices, leads complex initiatives from concept through production, and mentors engineering talent. The role is hybrid and requires working onsite three days a week at a UPS IT location in New Jersey, Atlanta, Maryland, or Kentucky.
Requirements
- 8+ years of experience across the Software Development Life Cycle (SDLC), designing, building, deploying, and operating enterprise software, data, analytics, or AI solutions.
- Demonstrated experience leading the development and production deployment of generative AI, agentic AI, machine learning, or intelligent applications.
- Experience with LLMs, RAG, AI agents, orchestration, prompt engineering, semantic retrieval, and AI evaluation.
- Experience designing scalable cloud-native architectures, APIs, data pipelines, and enterprise integrations supporting AI solutions.
- Strong understanding of AI engineering practices, including grounding, evaluation, observability, performance, security, responsible AI, and MLOps/LLMOps.
- Experience applying ML and analytical techniques such as NLP, classification, regression, forecasting, and predictive modeling.
- Experience with Agile development, CI/CD, DevSecOps, automated testing, and production operations.
- Demonstrated ability to establish reusable engineering patterns, lead complex technical initiatives, mentor engineering talent, and collaborate across technical and business teams.
- Strong written and verbal communication skills, with the ability to translate complex technical concepts into business outcomes.
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical discipline, international equivalent, or equivalent job experience.
- Ability to work onsite three days a week at one of the listed UPS IT locations: New Jersey, Atlanta, Maryland, or Kentucky.
Responsibilities
- Lead the design and implementation of enterprise AI, analytics, and intelligent software solutions across cloud and distributed environments.
- Translate complex business problems into scalable solutions using generative AI, agentic AI, machine learning, analytics, and automation.
- Lead development of AI agents and intelligent applications, including LLM integration, orchestration, retrieval-augmented generation (RAG), semantic retrieval, enterprise data, and tool integration.
- Establish reusable architectures, frameworks, engineering patterns, and components that accelerate delivery across business domains and use cases.
- Collaborate across Business, Product, Architecture, Engineering, Data Science, Data Engineering, UX, and Security to deliver enterprise AI capabilities.
- Lead integration of structured and unstructured enterprise data into AI, analytics, and machine learning solutions.
- Evaluate and apply appropriate AI and ML technologies, balancing generative AI, predictive modeling, traditional machine learning, and deterministic approaches based on business requirements.
- Establish AI evaluation and testing practices for grounding, accuracy, relevance, reliability, performance, regression testing, and production monitoring.
- Lead adoption of cloud-native architectures, APIs, data pipelines, and integration patterns supporting scalable AI and analytics workloads.
- Champion responsible and secure AI practices, including data governance, identity and access, privacy, traceability, auditability, and appropriate human oversight.
- Drive engineering excellence through CI/CD, DevSecOps, MLOps/LLMOps, automated testing, observability, deployment automation, and production operations.
- Lead complex technical initiatives, manage dependencies and risks, resolve technical roadblocks, and provide technical guidance across project teams.
- Partner with business and product stakeholders to prioritize capabilities based on business value, scalability, reuse, and measurable outcomes.
- Act as a technical leader and mentor, developing engineering talent and promoting modern AI and software engineering practices.
Benefits
- Medical and prescription drug coverage
- Dental coverage
- Vision coverage
- Flexible Spending Account
- Health Savings Account
- Dependent Care Flexible Spending Account
- Basic and Supplemental Life Insurance and Accidental Death and Dismemberment coverage
- Disability Income Protection Plan
- Employee Assistance Program
- 401(k) retirement program
- Vacation
- Paid holidays and personal time
- Paid sick and family and medical leave time as required by law
- Discounted Employee Stock Purchase Program
- Potential eligibility for annual short-term and/or long-term incentive compensation programs, depending on position level
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What This Job Offers
Job Type
Full-time
Career Level
Senior
