Lead AI Engineer / AI Solutions Delivery Lead

Lead hands-on technical delivery of priority AI solutions—agents, copilots, RAG applications, workflow automations, AI-enabled applications, and reusable accelerators—while establishing practical engineering patterns for reuse across Acosta Group.

Responsibilities

• Lead hands-on design and development of priority AI solutions, including agents, copilots, RAG applications, workflow automations, AI-enabled applications, and reusable accelerators.
• Translate approved use cases and business requirements into practical solution designs, prototypes, technical plans, and implementation approaches.
• Partner with the AI Architecture & Platform leader to apply enterprise standards for architecture, integration, security, observability, evaluation, lifecycle management, and reuse.
• Work with Transformation programs, corporate functions, and Business Units to build, test, iterate, and scale AI-enabled solutions.
• Create reusable code patterns, templates, reference implementations, agent frameworks, prompt/evaluation assets, APIs, and integration components.
• Guide internal engineers, analysts, citizen developers, and external delivery partners on AI engineering practices and solution quality.
• Support prototype-to-production transitions, including testing, monitoring, reliability, deployment, supportability, documentation, and operational handoff.
• Assess technical feasibility, data readiness, integration needs, security implications, and development complexity for priority AI use cases.
• Collaborate with AI Governance, Cyber, Data, and Technology teams to ensure delivery aligns with responsible AI and enterprise controls.
• Help evaluate vendor-built solutions by challenging technical approach, architecture choices, maintainability, portability, and production readiness.

Qualifications

• 10 or more years of progressive technology experience spanning hands-on software engineering, AI/ML engineering, data engineering, cloud-native application delivery, platform engineering, or intelligent automation.
• 5 or more years leading technical delivery of enterprise-grade software, AI/ML, GenAI, automation, data product, cloud application, or integration solutions from concept through production deployment.
• Demonstrated experience building AI-enabled applications such as agents, copilots, RAG solutions, LLM-powered workflows, APIs, decision-support tools, workflow automations, or ML-enabled products.
• Working knowledge of technologies including Azure AI / Azure AI Foundry, Azure OpenAI, Copilot Studio, Semantic Kernel, Power Platform, Fabric, Palantir Foundry / AIP / Ontology, Databricks, Power BI, vector search, RAG, embeddings, agent orchestration, governance controls, observability, evaluation, and MLOps / LLMOps.
• Strong command of modern engineering practices, including solution architecture, secure API design, integration patterns, CI/CD, automated testing, cloud services, data access, identity/security, observability, reliability, and release management.
• Proven ability to translate ambiguous business opportunities into clear technical designs, prototypes, delivery plans, production-ready solutions, and reusable engineering patterns.
• Ability to provide hands-on technical leadership to engineers, analysts, citizen developers, and delivery partners, with a focus on architecture quality, maintainability, code reuse, reliability, scalability, and operational readiness.
• Deep working knowledge of GenAI and AI engineering concepts, including LLM behavior, prompt and context design, agent orchestration, retrieval, embeddings, evaluation, guardrails, responsible AI controls, observability, and human-in-the-loop patterns.
• Excellent communication and influencing skills, with the ability to engage business stakeholders, senior engineers, architects, governance partners, vendors, and executive leaders while maintaining internal technical ownership.

Pay

$125,000 – $175,000 per year

Schedule

Full time