AI Solutions Engineer

Goodwin Procter • Boston, DC

1d

About The Position

Goodwin is seeking an AI Solutions Engineer to join their Global Operations Team. This role will design, build, and deploy AI-driven solutions to enhance legal workflows, improve client service delivery, and drive operational efficiency. The position sits at the intersection of legal practice, data, and emerging technologies, partnering with attorneys, knowledge management, IT, and innovation teams. The AI Solutions Engineer will identify high-impact use cases for AI (including generative AI), develop scalable solutions, and ensure responsible and secure implementation within a highly regulated legal environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of experience in software engineering, machine learning, or AI development.
• Hands-on experience with Python (or similar language) APIs and backend development.
• Hands-on experience with LLMs and NLP frameworks (e.g., OpenAI API, LangChain, Hugging Face).
• Experience building production-grade applications.
• Strong problem-solving skills and ability to work with ambiguous requirements.
• Ability to translate complex technical concepts into practical legal solutions.
• Strong collaboration skills with non-technical stakeholders.
• Curiosity and adaptability in a rapidly evolving AI landscape.
• High attention to detail, especially around accuracy and risk.

Nice To Haves

• Experience in legal tech, professional services, or regulated industries.
• Familiarity with retrieval systems (vector databases like Pinecone, Weaviate, FAISS).
• Familiarity with prompt engineering and RAG architectures.
• Familiarity with document processing (OCR, parsing, structured extraction).
• Understanding of legal workflows (e.g., litigation, corporate transactions, compliance).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of data privacy and security best practices.

Responsibilities

• Design and implement AI-powered tools (e.g., document analysis, contract review, legal research assistants, workflow automation).
• Build and maintain applications leveraging LLMs, NLP, and machine learning frameworks.
• Develop APIs, integrations, and internal tools to embed AI into legal workflows.
• Collaborate with attorneys and business teams to identify opportunities for AI-driven efficiency and innovation.
• Translate legal and business requirements into technical solutions.
• Work with foundation models (e.g., OpenAI, Anthropic, open-source LLMs) and optimize for legal use cases.
• Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning where appropriate.
• Integrate with document management systems (DMS), knowledge bases, and firm data sources.
• Ensure high-quality data pipelines and governance for AI applications.
• Ensure AI solutions comply with legal, ethical, and client confidentiality requirements.
• Partner with security and risk teams on model governance and data protection.
• Establish metrics to evaluate model performance and user impact.
• Iterate based on feedback from legal practitioners.
• Support internal adoption through documentation, training sessions, and user support.
• Act as a bridge between technical teams and legal professionals.

Benefits

• Health, dental, and vision insurance
• Life and disability insurance
• Retirement & Savings Plan
• Emergency back-up child and adult care
• Paid vacation, sick time off, and holidays
• Professional development and career advancement opportunities
• Employee recognition and reward programs
• Employee wellness and assistance programs
• Employee discounts and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees