AI Architect

AI Architect at Visionet Systems, Inc. AI Architect at Visionet Systems, Inc. in Monmouth Junction, New Jersey Posted in about 2 hours ago.

Type:

full-time

Job Description:

Responsibilities :

Design multi-agent orchestration frameworks using Lang Graph

• stateful graphs, conditional routing, agent handoff, retry and fallback logic Build agent harnesses coordinating Discovery, Parsing, Mapping, Code Generation, Validation, and Review agents across a shared execution context Develop the IDM prompt library
• system prompts, few-shot templates, structured output schemas, and reflection loops for each conversion workstream Build LLM-powered code conversion pipelines ex: DataStage ?

Databricks PySpark, Dremio SQL ? Snowflake SQL, legacy ETL ? cloud-native equivalents Lead

AICH-IDM

platform integration

• capability merger, MCP server design, shared tool registry, unified agentic execution surface Architect and operate conversion pipelines for 50,000-80,000+ legacy objects with parallelism, batching, resumability, and audit logging Build metadata frameworks for conversion traceability
• extraction run tracking, job dependency graphs, column-level lineage, confidence scoring Implement LLM routing layers that select models (Claude, OpenAI, Azure OAI) based on task type and quality requirements Build and maintain IDM backend services
• FastAPI, Celery/Redis, LangGraph runtime, CI/CD integration Surface agent observability
• token usage, latency per hop, model selection audit trail, output quality metrics

Required Skills :

LangGraph

• production-grade stateful graph design, interrupt/resume, shared memory, conditional edges LLM APIs
• Anthropic Claude, OpenAI, Azure OpenAI; tool use, structured outputs, prompt construction at scale Python
• async, FastAPI, Pydantic, Celery, Redis Prompt engineering
• few-shot design, chain-of-thought, output parsers, self consistency, reflection loops; not just RAG chat patterns Metadata-driven architecture
• YAML config-driven generation, schema inference, column-level lineage design MCP server design and tool registration Vector stores and RAG Claude Code
• experience using Claude Code as an agentic coding harness SKILL.md / prompt library design
• ability to design and maintain skill files that encode conversion rules, output constraints, and few-shot patterns as versioned, reusable assets loaded by the harness at runtime

Preferred Skills :

Legacy ETL platforms

• DataStage, Informatica etc; enough depth to understand what the agent is converting Databricks
• PySpark, notebooks, Unity Catalog, Delta Lake Snowflake
• SQL, Snowpark, DDL generation patterns AWS
• S3, Glue, Lambda; IAM and data lake patterns Apache Iceberg
• table format internals, catalog integration