AI Engineer | Digital Products & AI
PA Consulting2 days ago
Charlotte, NC, USASenior
Responsibilities
- Architect production AI solutions, including tool selection, memory and context management, guardrails, and human-in-the-loop controls.
- Build and deploy agentic systems, retrieval pipelines, MCP services, integrations, and connections between AI capabilities and enterprise data and processes.
- Modernize platforms and applications around current business needs, rebuilding legacy functionality where necessary.
- Design security and operational resilience into solutions through access controls, identity management, deployment guardrails, and oversight of automated actions.
- Break complex problems into deliverable components and help define scope, sequencing, and implementation approaches.
- Work directly with clients and multidisciplinary teams from discovery through deployment, and support some solutions after go-live.
- Create reusable patterns, skills, and tooling that strengthen future engagements and grow the AI engineering capability.
Requirements
- Experience designing, building, and delivering complex technology solutions in production environments.
- Experience building and operating production software, with strong software engineering skills ideally including Python and TypeScript.
- Client-facing technical delivery experience is expected at senior levels.
- Experience designing and delivering cloud-native systems on AWS, Azure, or GCP.
- Hands-on experience building AI applications and agent-based systems in production.
- Experience with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
- Experience building retrieval-enabled systems with technologies such as pgvector, Elasticsearch, or OpenSearch, including understanding of retrieval quality, latency, and cost trade-offs.
- Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services.
- Strong technical judgment, communication skills, and ability to navigate ambiguity while balancing delivery speed, quality, security, and maintainability.
- Preferred experience in consulting, professional services, or as a technical founder.
- Preferred experience in healthcare and life sciences, manufacturing, energy and utilities, transportation, or consumer industries.
- Preferred experience building reusable platforms, tooling, or AI solutions in regulated environments.
Benefits
- Hybrid working with at least 2 days per week in the office or on a client site, and assignments that may require up to 5 days per week on a client site.
- Group medical, dental, and vision insurance, plus a Health Savings Account with company match.
- Teladoc, informed Nurse line resources, long-term care coverage, income protection benefits, and an Employee Assistance Plan.
- 401(k) Savings Plan with company profit-sharing contribution.
- 15 paid vacation days with the option to buy 5 additional days, plus 10 paid holidays and 10 paid sick days.
- Commuter and parking tax-savings benefit, gym and health incentive reimbursement, and pet and legal insurance plans.
- Annual performance-based bonus and support for physical, emotional, social, and financial well-being.
Tech Stack
Categories
About PA Consulting
PA Consulting is a management and technology consultancy that designs and delivers strategy, digital systems, and physical products for public- and private-sector clients. It works across defense and security, government, health and life sciences, financial services, energy and utilities, consumer, and transport markets. Founded in 1943 and headquartered in London, it operates globally and is majority-owned by Jacobs.