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Job Description
Job Listing ID:
4515322
Job Title:
AI Engineer - SFL Scientific
Application Deadline:
Open Until Filled
Job Location:
Portland
Date Posted:
06/20/2026
Hours Worked Per Week:
Not Provided
Shift:
Not Provided
Duration of Job:
Either Full or Part Time, more than 6 months
SR You may contact this employer directly.
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Job Summary Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M& A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions. Are you eager to shape the future of emerging technologies? Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte Business, is looking to add an AI Engineer to their vibrant environment. SFL Scientific is part of our broader Strategy Offering within the Strategy & Transactions practice, whose specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Take the next step in your technical journey-develop your leadership, consulting acumen, and reputation as a trailblazer within the AI engineering field by joining our team! Recruiting for this role ends 7/31/2026. Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and deployment services for our novel machine learning applications. Key to this role is the ability to demonstrate both traditional data engineering expertise, leveraging cloud/enterprise/open-source solutions, and constructing IT infrastructure for organizations across a wide variety of industries. In our consultative approach, we are platform agnostic and committed to providing the best technical solutions for each client and solution. Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Some of our novel use cases include cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, and renewable energy.
Key responsibilities:
Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies Participate in the design and development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns Participate in technology proof of concepts to ensure feasibility of new data and cloud technology solutions Display thought leadership and execution in pursuit of modern data architecture principles and technology modernization A successful candidate would possess these skills: Computer Occupations, All Other
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Compensation
Not Provided
Job Requirements
