AI Engineer | Digital Products & AI

PA Consulting•Charlotte, NC

2d•Hybrid

About The Position

The AI Engineer will work directly with clients to shape, design, and build digital products, AI agents, intelligent workflows, and modernized platforms. Working with Product Strategists and Data Engineers, the role takes products from discovery through deployment and may include ongoing operation after launch. This is a hands-on engineering position in which engineers write code, review agent-generated outputs, and shape the architecture, controls, and acceptance criteria needed for production success. The role also involves helping define problems when requirements are incomplete while continuing to move delivery forward.

Requirements

Track record of designing, building, and delivering complex technology solutions in production environments.
Experience building and operating production software.
Client-facing technical delivery experience at senior levels.
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, and judgment about when an orchestration layer is warranted.
Experience building retrieval-enabled systems and working with technologies such as pgvector, Elasticsearch, or OpenSearch, with understanding of trade-offs among retrieval quality, latency, and cost.
Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services.
Strong technical judgment and communication skills, with the ability to navigate ambiguity and work directly with clients and multidisciplinary teams while balancing delivery speed, quality, security, and maintainability.

Nice To Haves

Experience delivering solutions in consulting or professional services, or experience as a technical founder.
Experience in healthcare and life sciences, manufacturing, energy and utilities, transportation, or consumer industries.
Experience building reusable platforms, tooling, or AI solutions in regulated environments.

Responsibilities

Architect production AI solutions, including tool selection, memory and context management, guardrails, and human-in-the-loop controls.
Build and deploy technical components for agentic systems, including retrieval pipelines, MCP services and integrations, and connections between AI capabilities and enterprise data and processes.
Modernize platforms and applications in response to current business needs, rebuilding where necessary rather than merely migrating legacy functionality.
Design security and operational resilience into solutions, including access controls, identity management, deployment guardrails, and oversight of automated actions.
Break complex problems into deliverable components and help shape scope, sequencing, and implementation approaches for rapid delivery.
Create reusable patterns, skills, and tooling that strengthen future engagements and help grow the capability.
Write code and review agent-generated outputs.