Firm Overview
Bates White is a boutique consulting firm based in Washington, DC. Recognized as a top workplace, the firm provides advanced economic, financial, and econometric analysis to law firms, companies, and government agencies.
Through our supportive, collaborative, and collegial culture, we invest in our talent and provide opportunities for career advancement. We are proud to have been consistently ranked among the top firms in the Vault Guide to the Top 50 Consulting Firms, listed as a top consulting firm by Management Consulted and named one of the Top Workplaces in the Washington, DC area for the 11th consecutive year by WTOP News.
If you are looking for a place to do high-quality work and have fun along the way, read below to discover how you can be part of our team. Learn more about our firm at: www.bateswhite.com.
What You’ll Do
In this role you will design, develop and deploy AI-driven workflows and autonomous agents that leverage large language models (LLMs) and other AI systems across the firm’s enterprise AI platforms. You will:
- Design, build, and deploy AI workflows and agentic solutions that leverage LLMs and other AI systems, using the firm’s existing enterprise AI platforms (such as Azure AI Foundry, Azure OpenAI, Databricks, AWS (e.g., Bedrock, SageMaker AI) and Google Cloud Vertex AI / Gemini), and evaluate and onboard new platforms as needs evolve.
- Develop, orchestrate, and maintain multi-step agent workflows, including tool use, function calling, retrieval-augmented generation (RAG), and integration with enterprise data sources, applications, and APIs.
- Apply a thorough understanding of how LLMs and emerging AI systems work, covering model selection, prompt design, context management, embeddings and vector stores, and the tradeoffs among inference, retrieval, and fine-tuning to select the right approach for each use case.
- Partner with business stakeholders and firm leadership to translate business requirements into robust, production-grade AI solutions.
- Build reusable frameworks, components, and pipelines that enable the broader data engineering team to develop, test, and scale AI solutions efficiently across cloud platforms.
- Establish and apply responsible AI practices, including data privacy and security, prompt injection and abuse mitigation, and evaluation and guardrails, in alignment with the firm’s AI governance policies and client contractual obligations.
- Monitor, evaluate, and continuously improve the accuracy, performance, cost, and reliability of deployed AI systems, including through token usage optimization.
- Build and maintain CI/CD pipelines and automated testing for AI workflows and agents, and manage the model lifecycle including version upgrades, deprecations, and migrations as providers release new models.
- Extend AI solutions to multi-modal use cases as needed, incorporating vision, audio, or other modalities alongside text-based LLMs.
- Stay current with the rapidly evolving AI landscape and advise the team on emerging models, tools, and techniques and their potential applications, including alternatives to the firm’s primary Azure-based stack (e.g., AWS, Google Cloud/Gemini).
What You’ll Bring To The Table
- Bachelor’s degree in computer science, data science, engineering, or a related field required; advanced degree preferred.
- Minimum 7 years’ experience in software engineering, data engineering, or a closely related technical field.
- Minimum 3 years’ hands-on experience building AI solutions, specifically with large language models (LLMs) and agent-based systems.
- Thorough understanding of LLM architecture, capabilities, and limitations, with the ability to reason about and adopt new AI systems as they emerge.
- Proficiency in Python and modern AI/ML frameworks and libraries; familiarity with multi-modal models (e.g., vision, audio) is a plus.
- Demonstrated experience building agentic workflows, RAG pipelines, and LLM integrations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or comparable tooling.
- Experience with enterprise AI platforms such as Azure AI Foundry, Azure OpenAI, or Databricks or comparable platforms on AWS (e.g. Bedrock, SageMaker AI) or Google Cloud (e.g. Vertex AI, Gemini).
- Experience working with vector databases and embedding models.
- Proficiency in prompt engineering, model evaluation, and the use of guardrail and safety tooling.
- Proficiency working with REST APIs and integrating AI systems into enterprise applications and data pipelines.
- Familiarity with MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, LangSmith) for experiment tracking and model monitoring.
- Familiarity with Microsoft Azure and other major cloud providers (AWS, Google Cloud) and cloud-based data services. The firm is Azure-focused but open to experience with other platforms.
- Familiarity with data privacy, security, and responsible-AI considerations for enterprise AI systems is preferred.
- Experience with SQL and working with both structured and unstructured data sources are advantageous.
- Strong problem-solving and analytical skills.
- Ability to work effectively under dynamic circumstances, tight deadlines, and high-pressure situations.
- Ability to successfully work with individuals of varying backgrounds, levels, and departments.
- Excellent oral and written communication skills and ability to effectively communicate complex technical and AI concepts to diverse audiences.
- May require more than 40.0 hours per week to perform the essential duties of the position.
What You Can Expect From Us
We are committed to providing an exceptional employee experience. You can expect:
- Competitive compensation—the salary range for this position is $160,000 to $190,000. This position is also eligible for bonus compensation on a discretionary basis. The actual salary offered for this position will be determined based on job-related, non-discriminatory factors including qualifications and experience, education, external market data, and internal equity.
- Comprehensive benefits package—includes tuition reimbursement up to $75K, low healthcare premiums, wellness benefits, and more! To learn more about our benefits offerings, click here.
- Hybrid work environment with three coordinated in-office days per week.
- Open culture where your voice is heard, your input is sought, and your contributions are rewarded.
- Fun and engaging culture including frequent social events.
- Amenities that include a fitness center, rooftop terrace, standing desks, espresso, fresh fruit, breakfast and afternoon snack, billiards, and ping pong.
- Employee-driven community outreach program featuring fundraising events (e.g., trivia, game shows, cooking competitions, etc.), volunteer opportunities, and matching funds along with our pro bono program.
- Investment in your career through training programs, an assigned mentor and peer coach, and frequent feedback.
- Networking opportunities through employee interest groups, Women’s Network, International Network, Diversity-Inclusion Council, and BWProud Network.
If you are interested in joining our team, please submit a resume.
Bates White is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. If you are an individual with a disability and you need an accommodation or other assistance during the application process, please call our Human Resources department at (202) 408-6110 or email your request to [email protected]. All qualified applicants are encouraged to apply. Download the Know your Rights Poster for more information.