AWS GenAI Consultant

Our client, a 3rd-generation management consulting firm. They are now looking to add to their team and are hiring aAWS GenAI Consultant. New York or New Jersey office or work remotely

Summary
The client is looking for an AWS GenAI Consultant to join our team as a full-time employee in ourNew York or New Jersey office or work remotely. This person is responsible for the end-to-end discovery, architecture, development, deployment, and optimization of secure generative AI and agentic solutions on AWS. They will drive the delivery of well-constructed, testable code that produces measurable customer outcomes.
As an AWS GenAI Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience, and organization skills needed to drive customer success.

Responsibilities

• Help customers shape their journey to adopting generative AI and provide technical and strategic guidance from use-case discovery through production.
• Consult, plan, design, and implement secure generative AI and agentic solutions with customers

• Architect and build production applications using Amazon Bedrock and Amazon Bedrock AgentCore
• Become a deep technical resource that earns our customer's trust
• Develop high-quality technical content such as reusable code, evaluation suites, reference architectures, and white papers to help our customers build on AWS
• Innovate on behalf of customers and translate your thoughts into action yielding measurable results.

• Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real-world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.

• Assist with technical briefs and decision records that document use cases, model selection, architecture, controls, and operating models
• Assist with reference architecture implementations and reusable accelerators

• Support internal and external brand development through thought leadership:

• Work with Marketing/Alliances to write blog posts
• Work with Marketing/Alliances to develop internal case studies and demonstrations

• Professional experience architecting and operating production generative AI solutions on AWS, with hands-on expertise in Amazon Bedrock and Amazon Bedrock AgentCore
• Experience in customer-facing technology delivery involving agentic systems, retrieval- augmented generation, evaluation, guardrails, security, observability, and modern software engineering
• You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

• Assist Customer with use-case prioritization, source-system analysis, data classification, and quality, latency, and cost requirements
• Assist Customer in the development of referenceable playbooks, supported by code examples for ingestion, parsing, chunking, embedding, and retrieval
• Assist Customer in the development of sample runbooks to implement Amazon Bedrock Knowledge Bases and managed or customer-managed data sources

• Retrieval Architecture - Designing semantic and hybrid search, metadata and access- control filtering, reranking, citations, and evaluation with fit-for-purpose vector stores.
• Responsible AI Controls - Applying Amazon Bedrock Guardrails for prompt attacks, harmful content, denied topics, sensitive data, grounding, and Automated Reasoning checks.

• Assist in selecting an agent approach and framework based on business outcomes and constraints
• Assist Customer in the development of referenceable playbooks, supported by code examples for agent tools, memory, identity, policy, and observability
• Assist Customer in the development of sample runbooks to implement a secure, scalable agent platform:

• Agent Runtime - Building agents on AgentCore Runtime or with the AgentCore harness, including streaming, session handling, and failure recovery.
• Tool Integration - Connecting APIs, AWS Lambda functions, and enterprise systems through AgentCore Gateway using MCP, OpenAPI, or Smithy.
• Identity and Memory - Applying AgentCore Identity and Memory for authorization, session context, long-term preferences, and tenant isolation.
• Action Governance - Using Policy in AgentCore and least-privilege permissions to enforce deterministic tool access and auditable actions.

• Assist Customer with the development of a report and supporting sample code addressing agent security, operations, and governance as part of the playbook

• Assist Customers in defining GenAI capabilities, success metrics, and acceptance thresholds based on identified business outcomes
• Assist Customer with reviewing the GenAI architecture against identified business outcomes and the AWS Well-Architected Generative AI Lens, recommending actions to close observed gaps
• Provide Customer with AWS best practices for quality, security, privacy, resilience, cost, and operational excellence
• Assist Customer with defining the first iteration of a minimum viable product (MVP):

• Build a multi-turn assistant with Amazon Bedrock Converse APIs, streaming, and grounded citations
• Implement an enterprise knowledge assistant with Amazon Bedrock Knowledge Bases
• Deploy an agent to AgentCore Runtime and connect governed tools through AgentCore Gateway
• Enable AgentCore Browser or AgentCore Code Interpreter when isolated web interaction or sandboxed code execution is required
• Apply Amazon Bedrock Guardrails, IAM, AWS KMS, AWS Secrets Manager, and private connectivity controls
• Provision AgentCore Observability and Evaluations, Amazon CloudWatch dashboards, OpenTelemetry traces, alerts, and quality gates

• Assist Customer in developing and implementing the first MVP in a non-production environment, under Customer's direction and using AWS best practices
• Assist Customer with identifying next steps and proposing activities for a future follow-on engagement
• Provide knowledge transfer to Customer's stakeholders on the GenAI and agent frameworks

• Primary Languages – Python, TypeScript/JavaScript, SQL
• Tooling, Services & Libraries – Boto3, AgentCore SDK, Strands Agents, LangGraph, LangChain, LlamaIndex, FastAPI, MCP, OpenTelemetry, Git, Docker, Terraform, pytest

• Generative AI – Amazon Bedrock, including Knowledge Bases, Guardrails, and evaluations
• Agentic AI – Amazon Bedrock AgentCore
• Data and Retrieval – Amazon S3, Amazon OpenSearch Serverless, Amazon Aurora PostgreSQL
• Application Operations and Security – AWS Lambda, Amazon API Gateway, AWS IAM, AWS KMS, AWS Secrets Manager, Amazon CloudWatch