AI Solutions Engineer

Goodwin • Washington, DC

1d • $119,300 - $205,800

About The Position

Join Goodwin’s Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world’s most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team – all business professionals at the firm – you’ll collaborate with colleagues from varied backgrounds and experiences, fostering an environment where cross-functional learning, networking, and collaboration are at the core of what we do. Here, we’re not just supporting a law firm; we’re partnering with attorneys and clients to deliver cutting-edge solutions in high-stakes litigation and dispute resolution, world-class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we’re proud to have been recognised as the “Best Business Team” by The American Lawyer. This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers. We are seeking an AI Solutions Engineer to design, build, and deploy AI-driven solutions that enhance legal workflows, improve client service delivery, and drive operational efficiency across the firm. This role sits at the intersection of legal practice, data, and emerging technologies, and will partner closely with attorneys, knowledge management, IT, and innovation teams. The AI Solutions Engineer will play a key role in identifying high-impact use cases for AI (including generative AI), developing scalable solutions, and ensuring 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
• 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
• Experience in legal tech, professional services, or regulated industries.
• Familiarity with: Retrieval systems (vector databases like Pinecone, Weaviate, FAISS)
• Prompt engineering and RAG architectures
• 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.
• 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.

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