Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester
Slalom Flex (Project Based)- Distinguished Engineer- Gen AI

Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester

Rochester Full-Time 100 - 125 ÂŁ / hour (est.) No home office possible
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Slalom

At a Glance

  • Tasks: Lead the architecture of a cutting-edge Generative AI compliance platform.
  • Company: Join Slalom, a global leader in business and technology consulting.
  • Benefits: Enjoy competitive pay, flexible work options, and comprehensive health benefits.
  • Why this job: Make a real impact on how regulated GenAI systems are built and operated.
  • Qualifications: Experience in software engineering and building production GenAI systems is essential.
  • Other info: Be part of a diverse team that values inclusion and personal growth.

The predicted salary is between 100 - 125 ÂŁ per hour.

Distinguished Engineer – Generative AI

About Us

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honoured to be consistently recognised as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.com.

Overview

We are seeking a Distinguished Engineer (Director‑level Individual Contributor) to lead the hands‑on architecture and build‑out of a Generative AI–native compliance platform. This role will define how regulatory requirements and controls are translated into traceable, auditable, production‑ready evidence using modern GenAI techniques. This is a deeply technical, builder‑first role. You will define architectural patterns, validate them through working implementations, and establish the engineering standards that enable GenAI systems to operate safely in regulated environments.

What You’ll Do

  • Architect and own the end‑to‑end design of a GenAI compliance engine, including RAG pipelines, agent workflows, data flows, policy‑as‑code foundations, and evidence traceability.
  • Make critical GenAI design decisions, defining evaluation strategies, guardrails, and controls for regulated use cases.
  • Build proofs of concept and reference implementations to validate architectural patterns and scale them to production.
  • Write and review production code; set engineering, testing, and operational standards.
  • Design approaches for compliance anomaly detection and structured policy generation from unstructured inputs.
  • Integrate GenAI solutions with enterprise platforms and standards, partnering closely with internal GenAI, security, and compliance teams.
  • Define repeatable patterns—figuring things out where no precedent exists—and prove them through execution.

What You Bring

  • Experience as a Distinguished Engineer, Principal Engineer, or Principal Architect in a large, complex enterprise.
  • Strong software engineering background with a track record of shipping and operating production systems.
  • Deep expertise in AWS architecture.
  • Hands‑on experience building production GenAI systems, including: AWS Bedrock, Retrieval‑Augmented Generation (RAG), Agent and tool orchestration, Model evaluation and guardrails, Vector databases (e.g., Pinecone or similar).
  • Experience with MLOps and operating GenAI systems in production.
  • Ability to operate independently, navigate ambiguity, and move from concept to working software.

Why This Role

  • Director‑level impact without people management.
  • Ownership of foundational GenAI compliance architecture with enterprise‑wide influence.
  • Equal emphasis on architecture, hands‑on engineering, and real delivery.
  • Opportunity to define how regulated GenAI systems are built—not just reviewed.

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, 401(k) with a match, a range of choices for highly subsidised 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.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $100/hr to $125/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester employer: Slalom

Slalom is an exceptional employer that prioritises a fiercely human approach to business and technology consulting, fostering a vibrant work culture where innovation thrives. With a commitment to employee well-being, Slalom offers generous benefits including meaningful time off, comprehensive health coverage, and professional growth opportunities, all while being consistently recognised as one of Fortune’s 100 Best Companies to Work For. This role provides the unique chance to lead impactful projects in Generative AI, allowing for significant influence without the need for people management, making it an ideal environment for those seeking to make a difference in a collaborative setting.
Slalom

Contact Detail:

Slalom Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for those interviews! Research the company and its projects, especially in Generative AI. Show them you’re not just another candidate; you’re genuinely interested in what they do.

✨Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are talking about your skills and experiences, the better you'll perform.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester

Generative AI
AWS Architecture
Production Systems Engineering
RAG Pipelines
Agent Workflows
Policy-as-Code
Compliance Anomaly Detection
MLOps
Vector Databases
Software Engineering
Architectural Patterns
Proofs of Concept
Integration with Enterprise Platforms
Independent Operation
Ambiguity Navigation

Some tips for your application 🫡

Show Your Technical Skills: When writing your application, make sure to highlight your technical expertise, especially in areas like AWS architecture and GenAI systems. We want to see how your experience aligns with the role, so don’t hold back on those impressive projects you've worked on!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your past experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.

Tailor Your Application: Make sure to customise your application for this specific role. Reference the job description and align your skills and experiences with what we’re looking for. This shows us that you’ve done your homework and are genuinely interested in joining our team.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts and submit your details!

How to prepare for a job interview at Slalom

✨Know Your GenAI Stuff

Make sure you brush up on your Generative AI knowledge. Understand the latest trends, tools, and techniques, especially those related to AWS architecture and compliance. Be ready to discuss how you've applied these in past projects.

✨Showcase Your Hands-On Experience

Prepare to share specific examples of your hands-on work with production GenAI systems. Highlight any proofs of concept or architectural patterns you've developed, and be ready to explain the impact they had on your previous projects.

✨Understand the Compliance Landscape

Familiarise yourself with regulatory requirements and how they apply to GenAI systems. Be prepared to discuss how you would translate these into traceable, auditable evidence, and what guardrails you would implement for safe operation.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's approach to GenAI compliance and how they envision the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.

Slalom Flex (Project Based)- Distinguished Engineer- Gen AI in Rochester
Slalom
Location: Rochester
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