Agentic AI Architect - Intelligence Engineering (East)

Slalom · Atlanta, GA · 1 mo ago

Art & Creative$178k–$218k/yrFull-time

About the role

Slalom is a consulting company that partners with clients to create modern technology and software products. This role involves designing and delivering innovative AI/ML and agentic AI solutions, focusing on multi-agent systems, LLM-powered workflows, and enterprise-grade AI governance frameworks.

Responsibilities

Provide thought leadership on AI/ML, Generative AI, and Agentic AI internally and with clients
Design end-to-end agentic AI architectures including planning loops, memory management, tool integration, and agent coordination patterns
Architect multi-agent orchestration systems using frameworks such as Strands Agents SDK, OpenAI Agents SDK, Google ADK, Lang Graph or similar for autonomous reasoning, decision-making, and task execution
Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis
Develop AI and ML solutions across AWS, Azure, and GCP, using cloud-native data services, ML tooling, LLM platforms, and software engineering practices
Implement evaluation frameworks (e.g., RAGAS, DeepEval, LangSmith) to measure task success rates, tool-call accuracy, and reasoning integrity for GenAI systems
Define AI governance frameworks including model risk management, responsible AI practices, regulatory compliance, and authorization boundaries for autonomous decision-making
Explain model and system behavior to both technical and non-technical audiences, including leading deep technical presentations, workshops, and architecture conversations
Collaborate with Product Owners to apply Slalom's agile process and lead the initiation, delivery, and transition of projects in a client-facing role
Lead and mentor engineers and machine learning practitioners
Lead smaller projects (3 to 5 people) as the technical lead from project initiation to delivery
Build trusted relationships with customers and collaborate across Slalom teams to share learnings and strengthen the broader Intelligence Engineering practice
Work approximately 85–95% of the time on delivery tasks
Travel up to 50% of the time, dependent on client engagements or internal meetings/events

Requirements

5+ years of software engineering experience building and deploying production systems; experience with machine learning, applied AI, or intelligent software systems is a plus, with 2+ years focused on generative AI, LLMs, or agentic AI systems

Hands-on experience designing or building multi-agent systems including agent orchestration, tool integration, and autonomous decision-making workflows
Proficiency with at least one agentic AI or workflow framework such as Lang Graph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similar
Experience with RAG architectures including vector databases, embeddings, and retrieval optimization, and context management techniques such as chunking, summarization, and memory handling
Experience developing production-ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plus
Experience with AI-assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE-based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow acceleration
Strong Python development skills; experience with FastAPI, Flask, or equivalent API frameworks
Experience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production support
Familiarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systems
Recognition as an authority on at least one technical domain (e.g., Agentic Systems, RAG, Multi-Agent Orchestration) with generalist familiarity across AI/ML techniques
Excellent verbal and written communication skills; ability to lead highly technical presentations
Familiarity with Agile project delivery

Qualifications

Hands-on experience designing or building multi-agent systems including agent orchestration, tool integration, and autonomous decision-making workflows

Proficiency with at least one agentic AI or workflow framework such as Lang Graph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similar
Experience with RAG architectures including vector databases, embeddings, and retrieval optimization, and context management techniques such as chunking, summarization, and memory handling
Experience developing production-ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plus
Experience with AI-assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE-based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow acceleration
Strong Python development skills; experience with FastAPI, Flask, or equivalent API frameworks
Experience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production support
Familiarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systems
Recognition as an authority on at least one technical domain (e.g., Agentic Systems, RAG, Multi-Agent Orchestration) with generalist familiarity across AI/ML techniques
Excellent verbal and written communication skills; ability to lead highly technical presentations
Familiarity with Agile project delivery

Skills

Hands-on experience designing or building multi-agent systems including agent orchestration, tool integration, and autonomous decision-making workflows

Proficiency with at least one agentic AI or workflow framework such as Lang Graph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similar
Experience with RAG architectures including vector databases, embeddings, and retrieval optimization, and context management techniques such as chunking, summarization, and memory handling
Experience developing production-ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plus
Experience with AI-assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE-based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow acceleration
Strong Python development skills; experience with FastAPI, Flask, or equivalent API frameworks
Experience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production support
Familiarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systems
Recognition as an authority on at least one technical domain (e.g., Agentic Systems, RAG, Multi-Agent Orchestration) with generalist familiarity across AI/ML techniques
Excellent verbal and written communication skills; ability to lead highly technical presentations
Familiarity with Agile project delivery

Benefits

Slalom offers a range of benefits including meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. Additionally, there is a yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices and provides an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors.

Pay

Compensation and Benefits: Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and salary ranges:

Boston, New Jersey, New York City, Washington DC, White Plains:
- Senior Architect: $178,000-$218,000
- Architect: $145,000-$177,000
- Sr. Engineer: $118,000-$144,000
All other locations:
- Senior Architect: $163,000-$200,000
- Architect: $133,000-$163,000
- Sr. Engineer: $108,000-$132,000

Schedule

Will be delivery-focused approximately 85–95% of the time

Willingness to travel up to 50%, at peak times