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Senior AI Engineer, AI Services

AHEAD· Solutions Development
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Remote$200k - $250kFull-timePosted 10mo ago

About the role

Senior AI Engineer, AI Services to design, build, and deploy enterprise-grade AI solutions for clients in a hands-on technical consulting role. Translate ambiguous business needs into scalable, secure AI capabilities and collaborate with client stakeholders, architects, and delivery teams to move initiatives from prototype to production.

Responsibilities

  • Solution Development & Deployment - Build and deploy multi-agent systems using LangChain, LangGraph, Autogen, CrewAI, and LlamaIndex. Develop custom agents for document processing, workflow automation, SDLC acceleration, data analysis, and business process orchestration. Integrate LLMs, SLMs, embeddings, and retrieval pipelines (Pinecone, Elasticsearch, Snowflake Cortex, pgvector) Create and operate LLM/ML endpoints, agent memory/state stores, and event-driven triggers. Implement reusable components that become part of AHEAD’s agent library and client solution accelerators
  • Enterprise Integration & Workflow Automation - Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, Snowflake, S3, n8n, AWS Batch, and similar tools. Connect agents to enterprise systems (SharePoint, Salesforce, ServiceNow, Jira, Oracle, databases, APIs). Implement RAG, tool-calling, function calling, and structured output pipelines for production-ready agentic tasks. Ensure robust data transformations, validation, and versioning for downstream agent workflows
  • Quality, Observability & Reliability - Implement monitoring, metrics, and guardrails for multi-agent systems (timeouts, retries, constraints, circuit breakers). Build automated testing for agent behaviors, prompts, ETL/batch jobs, and model outputs. Participate in incident reviews, debugging multi-agent flows, and ensuring predictable performance
  • Client Collaboration & Delivery Excellence - Work with client stakeholders to understand use cases, pain points, and success criteria. Translate business needs into technical agent designs and roadmaps. Participate in agile ceremonies, demos, and working sessions with client teams. Contribute to proposals, SOWs, architecture diagrams, and client documentation
  • Security, Governance & Compliance - Apply enterprise standards for data security, access control, auditing, model governance, and safe AI usage. Embed monitoring, lineage, PII handling, and policy constraints into agentic flows
  • Mentorship & Internal Development - Coach junior engineers on agent design patterns, RAG, orchestration, and clean engineering practices. Contribute to internal best practices, reference architectures, and reusable components. Support onboarding of new engineers and scale AHEAD's agentic engineering community

Qualifications

  • Strong Python engineering background, including async patterns, APIs, and event-driven design
  • Hands-on experience with multi-agent frameworks (LangGraph, Autogen, CrewAI, LangChain, etc.)
  • Demonstrated ability to build production ETL, orchestration, or workflow automation pipelines (Kafka, EventBridge, Airflow, Celery, n8n, AWS services)
  • Experience with vector DBs and retrieval pipelines (Pinecone, pgvector, Elasticsearch, LlamaIndex)
  • Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns
  • Strong documentation habits and comfort working in fast-paced agile environments
  • Experience integrating with enterprise systems or APIs in production

Skills

Required:PythonMulti-agent frameworksETL / Orchestration pipelinesVector databases & retrieval

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k)
  • Paid company holidays
  • Paid time off
  • Paid parental and caregiver leave
  • Plus more! See benefits at https://www.aheadbenefits.com/
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About AHEAD

Digital Platforms Engineered for Modern Enterprises

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

Platform SolutionsInfrastructure ModernizationLifecycle ManagementSeamless Integration
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