AI/ML Engineer

Beacon Hill; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Beacon Hill in Chicago is seeking a senior AI/ML engineer to design and deploy AI-powered applications using Generative AI, LLMs, and RAG techniques. You will work in an Agile team delivering production-ready solutions with governance, monitoring, and security.

The role emphasizes cloud-native development on AWS (SageMaker, Bedrock, Lambda, Kubernetes), CI/CD, IaC, and collaboration with enterprise systems. Strong Python skills are required, and a proactive, collaborative mindset.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field, or equivalent work experience
• Minimum 3-7 years of relevant work experience
• Experience working within an Agile/SCRUM environment
• Experience delivering and supporting machine learning and AI solutions in production environments
• Experience with the machine learning lifecycle, including development, deployment, monitoring, governance, and retirement
• Experience with Generative AI, Large Language Models (LLMs), and foundation models
• Experience building AI-powered applications and services
• Experience implementing Retrieval-Augmented Generation (RAG) solutions
• Experience designing and implementing AI agents and agentic workflows with responsible AI and human oversight controls
• Experience with machine learning libraries and frameworks
• Experience with AI orchestration frameworks
• Experience with vector databases, embeddings, and semantic search technologies
• Experience with ML Ops, AI Ops, and model lifecycle management frameworks
• Experience working with databases, data lakes, and modern data platforms
• Experience building cloud-native applications, services, CI/CD pipelines, and Infrastructure as Code (IaC)
• Experience with cloud computing platforms, specifically Amazon Web Services technologies such as SageMaker, Bedrock, Docker, Lambda, and Kubernetes
• Experience troubleshooting production applications, AI systems, and cloud infrastructure
• Experience integrating AI solutions with enterprise systems, APIs, and third-party platforms
• Strong Python programming experience

Skills

Python programming

Machine learning

Generative AI

LLMs

RAG

AI orchestration

Vector search

ML Ops

APIs integration

Problem solving

Leadership

Communication

Agile mindset

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field, or equivalent work experience

Tools

SageMaker

Bedrock

Docker

Lambda

Kubernetes

CI/CD

Infrastructure as Code (IaC)

Job description

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field, or equivalent work experience
• Minimum 3-7 years of relevant work experience
• Experience working within an Agile/SCRUM environment
• Experience delivering and supporting machine learning and AI solutions in production environments
• Experience with the machine learning lifecycle, including development, deployment, monitoring, governance, and retirement
• Experience with Generative AI, Large Language Models (LLMs), and foundation models
• Experience building AI-powered applications and services
• Experience implementing Retrieval-Augmented Generation (RAG) solutions
• Experience designing and implementing AI agents and agentic workflows with responsible AI and human oversight controls
• Experience with machine learning libraries and frameworks
• Experience with AI orchestration frameworks
• Experience with vector databases, embeddings, and semantic search technologies
• Experience with ML Ops, AI Ops, and model lifecycle management frameworks
• Experience working with databases, data lakes, and modern data platforms
• Experience building cloud-native applications, services, CI/CD pipelines, and Infrastructure as Code (IaC)
• Experience with cloud computing platforms, specifically Amazon Web Services technologies such as SageMaker, Bedrock, Docker, Lambda, and Kubernetes
• Experience troubleshooting production applications, AI systems, and cloud infrastructure
• Experience integrating AI solutions with enterprise systems, APIs, and third-party platforms
• Strong Python programming experience

Knowledge & Abilities

• An ability to adopt new ways of working and embrace new technologies and techniques
• Dynamic communication skills with a focus on building relationships by listening and asking questions
• Extensive and effective presentation skills
• Strong leadership and team building skills
• Ability to establish and communicate priorities, constraints, deadlines, and goals
• Ability to develop strong trust relationships with stakeholders
• Strong organizational skills and experience with formal SDLC
• Ability to solve complex problems and think analytically
• Highly self-motivated and directed
• Ability to absorb and retain information quickly
• Ability to present technical concepts in user-friendly language
• Possess an agile mindset and openness to adaptation based on experience and feedback
• Strong attention to detail and a focus on long-term strategic quality
• Promote a culture of collaboration, innovation, and continuous improvement
• Consistently participate in diversity, equity and inclusion (DEI) events and use a DEI perspective to enhance the Bank’s culture and positively impact our business, members, and communities
• Strong understanding of machine learning, deep learning, Generative AI, LLMs, embeddings, vector search, prompt engineering, and RAG
• Understanding of AI agent architecture, tool use, multi-agent patterns, and workflow orchestration
• Understanding of Responsible AI principles, model governance, AI risk management, security, privacy, and regulatory considerations
• Ability to design AI solutions that balance innovation and business value with security, compliance, human oversight, and operational reliability
• Ability to evaluate AI, ML, and agent performance using quantitative and qualitative methods
• Ability to troubleshoot model drift, hallucinations, unintended agent behavior, performance degradation, and operational issues
• Linux and Windows systems administration