Consultant - Forward Deployed AI Engineer

Arthur D. Little • Boston, MA

9d • Hybrid

About The Position

Arthur D. Little (ADL) is seeking a Consultant - Forward Deployed AI Engineer to join our SPACE team. This is a highly hands-on role for an artificial intelligence practitioner who combines strong engineering skills with the ability to work directly with clients. The role is about building: rapidly developing prototypes to test ideas and demonstrate value, then turning successful prototypes into robust solutions that operate at enterprise scale. You should be equally comfortable writing code, working through an ambiguous client problem, and explaining your solution to technical and business stakeholders. At Arthur D. Little, you will work with a global network of industry experts, data scientists, engineers, and strategists driving digital transformation across sectors. The SPACE team is at the forefront of shaping how artificial intelligence and data redefine value creation, combining ADL's strategic heritage with deep technical expertise and hands-on delivery. This role offers the opportunity to help clients move beyond artificial intelligence strategy and experimentation to build solutions that deliver measurable business impact, while developing teams, shaping client relationships, and contributing to the growth of ADL's artificial intelligence capabilities in the Americas.

Requirements

• Typically 2-5 years of professional experience in artificial intelligence, machine learning, software engineering, data science, or related technical roles, with demonstrated hands-on experience building and deploying artificial intelligence solutions.
• Strong programming skills and demonstrated experience personally developing artificial intelligence or machine learning solutions.
• Able to move quickly from an idea to a working prototype - and then engineer it into a scalable production solution.
• Practical experience with large language models, artificial intelligence agents, retrieval-augmented generation, model evaluation, machine learning, and related technologies.
• Experience with Python, application programming interfaces, system integration, testing, version control, cloud environments, deployment, and monitoring.
• Comfortable working directly with clients, asking the right questions, navigating ambiguity, and explaining complex technical topics clearly.
• Able to learn new technologies quickly and select the right approach for the problem rather than defaulting to a particular tool or framework.

Nice To Haves

• Experience in consulting, professional services, or other client-facing environments is a plus.
• Relevant technologies may include PyTorch, Hugging Face, LangChain, Databricks, Microsoft Azure, Amazon Web Services, Google Cloud, vector databases, or similar platforms. Specific technologies are less important than demonstrated ability to learn and build.

Responsibilities

• Work directly with clients to translate business problems into technical solutions.
• Rapidly prototype artificial intelligence and machine learning applications to test feasibility and business value.
• Take successful prototypes into production, applying sound software engineering practices for scalability, reliability, security, and maintainability.
• Design, build, test, and deploy solutions using generative artificial intelligence, artificial intelligence agents, retrieval-augmented generation, machine learning, and other appropriate approaches.
• Integrate artificial intelligence solutions with enterprise data, applications, workflows, and existing technology environments.
• Evaluate models, architectures, and technologies based on performance, cost, reliability, and business requirements.
• Work side-by-side with ADL colleagues, client technical teams, and external technology partners.
• Communicate technical approaches, trade-offs, results, and recommendations clearly to both technical and business audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed