AI Engineer | Digital Products & AI
PA Consulting3 hours 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-system components, retrieval pipelines, MCP services, integrations, and connections to enterprise data and processes.
- Modernize platforms and applications by rebuilding legacy functionality where needed.
- Design access controls, identity management, deployment guardrails, and oversight of automated actions into solutions.
- Break complex problems into deliverable components and help define scope, sequencing, and implementation approaches.
- Create reusable engineering patterns, skills, and tooling for future engagements.
- Write code, review agent-generated outputs, and shape architecture, controls, and acceptance criteria for production success.
- Work directly with clients and multidisciplinary teams from discovery through deployment and, on some engagements, ongoing operation.
Requirements
- Track record of designing, building, and delivering complex technology solutions in production environments.
- Experience building and operating production software.
- Strong software engineering skills, ideally including Python and TypeScript.
- 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.
- Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services.
- Client-facing technical delivery experience at senior levels.
- 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 a minimum of two days per week in the office or on a client site; assignments may require up to five days per week on a client site.
- Group medical insurance, dental insurance, vision insurance, and a Health Savings Account with company match.
- Teladoc and informed Nurse line resources.
- 401(k) Savings Plan with company profit-sharing contribution.
- Commuter and parking tax-savings benefit.
- 15 paid vacation days, with the opportunity to buy five additional days.
- 10 paid holidays and 10 paid sick days.
- Company and voluntary income protection benefits.
- Gym and health incentive reimbursement.
- Pet and legal insurance plans.
- Employee Assistance Plan.
- Annual performance-based bonus.
- Physical, emotional, social, and financial well-being support, plus recruitment-process adjustments and accommodations.
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.