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About the Role

The Senior Forward Deployed AI Engineer, Data Platform & Agents bridges the gap between complex enterprise data estates and frontier agentic AI execution. You will translate operational workflows and fragmented data sources into production-grade multi-agent platforms, retrieval systems, and LLM evaluation architectures. This is a high-agency "builder-consultant" role for engineers who care about stakeholder adoption and business impact as much as model accuracy and data execution.

Responsibilities

Architect and deploy custom data interfaces and tool servers using the Model Context Protocol (MCP), function calling, and structured JSON schemas.
Build high-performance data pipelines, vector search, and hybrid RAG layers over Lakehouse environments.
Sit side-by-side with client technical teams to run daily requirements discovery, lead architecture reviews, and rapidly ship zero-to-one production Proofs of Concept (PoCs).
Implement robust evaluation frameworks and observability pipelines to monitor agent behavior and guarantee reliability.
Collaborate with client security teams to enforce access-control lists (ACLs), multi-tenant isolation, row/column-level permissions, and zero-data-leakage constraints.

Requirements

Proven track record building and deploying production multi-agent systems, RAG platforms, and MCP servers using frameworks like LangGraph, AutoGen, or CrewAI.
5+ years of experience with Databricks, PySpark, Delta Lake, SQL, and Python.
Specific expertise optimizing high-QPS analytical queries and processing unstructured enterprise documents.
Strong foundation in quantitative methods, statistics, or applied ML to evaluate model uncertainty, ground truth, and non-deterministic systems systematically.
Demonstrated ability to run technical discovery calls, manage non-technical client stakeholders, handle technical pushback, and lead co-engineering efforts on-site.

Skills

Agentic AI
Orchestration
Multi-agent systems
RAG platforms
MCP servers
LangGraph
AutoGen
CrewAI
Data Engineering
Lakehouse
Databricks
PySpark
Delta Lake
SQL
Python
Analytical queries
Unstructured data processing
Statistical rigor
Model evaluations
Quantitative methods
Statistics
Applied ML
Client-facing communication
Technical leadership

Location

US / NYC

Work Type

Onsite

Experience Level

Senior
5+ years

Education Level

M.S./Ph.D. or equivalent industry experience in quantitative methods, statistics, or applied ML

Salary/Compensations

$180,000 - $240,000
Potential for annual discretionary bonus

Benefits

Competitive pay with performance bonuses
Comprehensive health coverage
Generous PTO
Flexible holidays
Parental leave
Paid company shutdown the last week of December
Deep Anthropic Partnership with direct access to partner teams, official training, and early access to unreleased capabilities.
High Autonomy Culture
Frontier-Level L&D with generous learning budget, dedicated research time, and access to state-of-the-art AI tools.

About the Company

Indicium AI was Anthropic’s first European launch partner, a Preferred Anthropic Partner, and is trusted to deploy Claude at an enterprise scale.
Named the 2026 Databricks Consulting Partner of the Year and backed by Databricks Ventures.
Builds and deploys production AI systems for complex enterprises, making AI a genuine competitive advantage.