What are the responsibilities and job description for the Senior AI Agentic Engineer position at Bdiplus?
Overview
BDIPlus is seeking a Senior AI Agentic Engineer to support a Fortune 100 financial services client’s enterprise data products and real-time intelligence initiatives.
In this role, you will design, build, and deploy production-grade AI agents using Claude. These agents will deliver real-time intelligence within a highly governed ecosystem powered by MCP tool integration.
You’ll work at the forefront of agentic AI in a regulated environment, ensuring performance, trust, and compliance at scale.
What You’ll Do
- Design and develop production AI agents
- Build agents on Claude with scalable, secure deployment patterns
- Configure and manage reverse proxies / gateways with OIDC / Rate limitations etc.
- Implement comprehensive ELK-based audit trails with long-term retention (including S3 Glacier archival)
- Design human-in-the-loop workflows with approval gates, task queues, and escalation rules—especially for actuarial outputs
- Conduct accuracy benchmarking, adversarial testing, and Responsible AI evaluations aligned with regulatory expectations (e.g., NAIC AI guidance)
- Implement role-based and attribute-based access controls (RBAC/ABAC) via MCP and semantic layers (e.g., Denodo)
- Integrate data quality signals into agent responses
- Build safety mechanisms such as circuit breakers, usage limits, and error threshold controls
- Collaborate with streaming/data engineering teams to connect agents to real-time data pipelines (Kafka, Iceberg)
- Leverage AI-assisted development tools (Claude Code) to accelerate delivery
Required Qualifications
- 3 years of experience building production AI/ML applications, including at least 1 year working with LLMs
- Hands-on experience with Claude or equivalent platforms (Azure OpenAI, SageMaker)
- Strong understanding of Model Context Protocol (MCP), tool-use patterns, and agent-based architectures
- Experience configuring API gateways (e.g., Kong Gateway, AWS API Gateway) including authentication and rate limiting
- Proficiency with observability and audit systems (ELK Stack or similar)
- Experience with agent evaluation techniques: benchmarking, adversarial testing, prompt injection defense
- Strong programming skills in Python (FastAPI preferred) or Node.js
- Solid understanding of Responsible AI principles (fairness, explainability, governance, compliance)
- Experience using AI-assisted development tools (Claude Code preferred; training available)
Preferred Qualifications
- Experience with semantic layers and MCP integrations
- Financial services or insurance domain experience
- Familiarity with Elasticsearch ML or similar anomaly detection tools
- Experience with data catalog and lineage tools
- Experience with data quality platforms
- Knowledge of regulatory frameworks (e.g., NAIC AI Bulletin, NY Reg 187, SOX)
- Experience deploying AI agents with human-in-the-loop governance in regulated environments
About BDIPlus
BDIPlus is a data and AI consulting firm with deep experience delivering for Fortune 500 clients, including American Express and Morgan Stanley. We specialize in enterprise data products, identity resolution, semantic layers, and event-driven architecture.
Our engineers are AI-native, leveraging tools like Claude Code from day one to deliver faster, more scalable solutions than traditional consulting teams.
BDIPlus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.