Senior AI Engineer, AI Services

About the role

AHEAD builds platforms for digital business. We weave together advances in cloud infrastructure, automation, and analytics to help enterprises realize the promise of digital transformation. We prioritize a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We foster a diverse and inclusive environment, committed to equal opportunity and diversity.

Responsibilities

• Solution Development & Deployment
• Build and deploy multi-agent systems using frameworks like LangChain, LangGraph, Autogen, CrewAI, and LlamaIndex.
• Develop custom agents for document processing, workflow automation, SDLC acceleration, data analysis, and business process orchestration.
• 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 closely with client stakeholders to understand use cases, pain points, and success criteria.
• Translate business needs into technical agent designs and execution roadmaps.
• Participate in agile ceremonies, demos, and working sessions with client teams.
• Contribute to proposals, SOWs, architecture diagrams, and client documentation when needed.
• 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 help 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.

Benefits

• USA Employment Benefits Include Medical, Dental, and Vision Insurance
• 401(k)
• Paid company holidays
• Paid time off
• Paid parental and caregiver leave
• Plus more!

Compensation

$200,000 - $250,000 a year

The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.

Use of AI

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [email protected]. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.