Senior Consulting Manager, AI Engineer (AWS Bedrock)

TL;DR

Senior Consulting Manager, AI Engineer (AWS Bedrock): Leading the design and implementation of next-generation Generative AI solutions using AWS Bedrock with an accent on architecting robust RAG pipelines and building autonomous AI Agents. Focus on optimizing retrieval accuracy, automating multi-step tasks, and ensuring responsible AI practices in production-grade applications.

Location: Hybrid, requires 3-4 days a week in a client office in New York/New Jersey.

Salary: $98,853 – $182,500

Company

hirify.global is a global professional services company transforming clients' business and technology models for the digital era.

What you will do

• Architect RAG Systems using Amazon Bedrock Knowledge Bases for high retrieval accuracy.
• Develop and deploy intelligent AI Agents using Agents for Amazon Bedrock to automate multi-step tasks.
• Evaluate and select foundation models (e.g., Claude 3.5, Llama 3, Amazon Titan) based on performance and cost.
• Implement and manage vector stores (e.g., Amazon OpenSearch Serverless, Pinecone, pgvector) for semantic search.
• Develop and iterate on complex system prompts and advanced prompting techniques.
• Implement Amazon Bedrock Guardrails for responsible AI practices including PII masking and content filtering.
• Use frameworks like Ragas or TruLens to systematically evaluate RAG performance and agent success rates.

Requirements

• Work Model: Hybrid, requires 3-4 days a week in a client office in New York/New Jersey.
• Expert-level proficiency in Python and experience with asynchronous programming.
• Hands-on experience with AWS Bedrock, Lambda, S3, DynamoDB, IAM, and Step Functions.
• Deep knowledge of orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
• Experience building ETL pipelines for unstructured data (PDFs, HTML, Markdown).
• Proficiency in CI/CD for AI, including model versioning and monitoring using Amazon CloudWatch.

Nice to have

• Experience with GraphRAG using Amazon Neptune.
• Background in Banking/Financial Services or Wealth Management domains.
• AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner.
• Contributions to open-source AI projects.

Culture & Benefits

• Flexible hybrid work model focused on work-life balance.
• Medical/Dental/Vision/Life Insurance and Paid holidays plus Paid Time Off.
• 401(k) plan and contributions.
• Paid Parental Leave and Fertility assistance.
• Employee Stock Purchase Plan and Employee assistance program.
• Learning and development certifications and programs.
• Energetic, collaborative, and inclusive workplace with a global community of 300,000+ associates.