Senior Technology Lead

Request ID: 105043-1
Title: Senior Technology Lead
Locations: Merrill Lynch, NJ
Duration: 6 Months
Pay Range: $65 - $70/Hour on W2/C2C (All inclusive)

Introduction

We are seeking a professional who sits at the intersection of agentic AI, legacy modernisation, and cloud-native engineering. This position is focused on designing and deploying custom AI agent pipelines that systematically reverse-engineer legacy estates and forward-engineer modern cloud-native platforms.

Required Skills & Qualifications

• Hands-on experience building multi-agent systems using at least one platform: Claude Code CLI, Cursor, Gemini CLI, LangChain/LangGraph, AutoGen, CrewAI, or equivalent
• Ability to design agent orchestration patterns: sequential chains, parallel fan-out, supervisor/worker hierarchies, reflection and self-critique loops
• Experience with tool use / function calling in LLM agent contexts — designing custom tools agents invoke to read codebases, query databases, call APIs, or run test suites
• Working knowledge of agent memory strategies: in-context state, vector store retrieval (RAG), structured external memory
• Practical prompt engineering for code tasks: extraction, generation, validation, and iterative refinement prompts
• Experience evaluating agent output quality; ability to design human-in-the-loop review workflows and validation harnesses
• Familiarity with LLM APIs: Anthropic Claude, Google Gemini, OpenAI GPT-4o, or equivalent; understanding of context limits, token budgets, and cost management at scale
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• 15 years of software engineering; 3 years in a tech lead, engineering solution designer role
• Ability to read and reason about COBOL, CICS transaction logic, IMS hierarchical data structures — extracting business intent
• Experience designing strangler-fig, anti-corruption layer, and event interception patterns in production migration contexts

Day-to-Day Responsibilities

• Design and deploy custom AI agent pipelines that ingest legacy artefacts and produce structured outputs
• Build multi-agent chains that cross-reference extracted business logic against live transaction traces, test outputs, and production data patterns
• Use agents to auto-generate legacy comprehension artefacts

Company Benefits & Culture

• Comprehensive health insurance plans
• Flexible work arrangements
• Opportunities for professional growth and development

For immediate consideration please click APPLY to begin the screening process with Alex.