Technical Business Analyst - AI

Position Summary

Interested in AI product management and development? The Technical Business Analyst - AI designs, develops, and implements AI-powered solutions that improve efficiency and productivity across McDermott’s administrative teams and legal practices, strengthening the firm’s ability to better serve clients. This role collaborates closely with Product Management, firm AI leadership, Knowledge Management, and business sponsors to translate needs and ideas into secure, scalable, and innovative AI solutions.

The ideal candidate has an engineering and business analysis background, is analytical, detail-oriented, and collaborative, and applies strong technical and problem-solving skills to create intelligent solutions that advance the firm’s AI capabilities. This role builds advanced prompt-based solutions and orchestrates agentic workflows that automate and enhance complex business and legal processes, leveraging firm knowledge and operational data through MCP, APIs, and other integration frameworks.

Acting as both technologist and business analyst, the Technical Business Analyst - AI works with stakeholders to surface needs, assess current processes, and translate requirements into practical AI-driven workflows. The analyst gathers, synthesizes, and tests stakeholder feedback to ensure each solution aligns with firm standards for security, compliance, and reliability while delivering measurable operational impact and an improved user experience.

Essential Functions and Responsibilities

• Engage directly with stakeholders across legal practices and administrative departments to understand business needs, pain points, and workflow challenges; translate these into clear AI use cases, functional requirements, and prototype concepts.
• Design, build, and deploy AI applications, prototypes, and integrations using AI foundation models, APIs, and cloud-based platforms.
• Facilitate iterative feedback loops with stakeholders to refine prompts and workflows, validate solution designs, and ensure that AI assistants meet operational and user experience expectations.
• Leverage leading AI models and related technologies to drive initiatives in productivity improvement, research, and process optimization.
• Build, test, and maintain AI agents and conversational interfaces that improve user experience and operational efficiency.
• Implement and maintain secure, compliant, and well-documented AI workflows in accordance with firm policies and governance standards.
• Evaluate and integrate third-party AI platforms and APIs (e.g., OpenAI, Anthropic, Microsoft, etc.) into internal systems where appropriate.
• Create, test, and optimize prompt templates and instruction sets to improve model performance, reliability, and alignment with user needs.
• Support data preparation, feature engineering, and model optimization in collaboration with data engineers and developers.
• Participate in agile ceremonies, including sprint planning, backlog refinement, and cross-functional demos, to plan, prioritize, and showcase work.
• Stay current on developments in AI agents, orchestration tools, and large language model technologies, sharing practical insights and recommendations with the team.

Job Specifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related UX engineering field.
• Minimum three (3) years of experience supporting or leading the delivery of advanced technology software-based solutions.
• Familiarity with 2 or more AI platforms with deep experience with at least one of the leading AI platforms (ChatGPT, MS Copilot, Claude, Gemini, etc.).
• Experience integrating and deploying APIs; familiarity with RESTful services and cloud environments.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to communicate technical concepts effectively to non-technical stakeholders.
• Knowledge of agile software development practices and version control (e.g., Git).
• Experience developing AI agents, chatbots, or prompt-based systems using generative AI models (e.g., GPT-based systems) preferred.
• Familiarity with data governance, privacy, and ethical AI best practices a plus.
• Demonstrated commitment to staying current with AI orchestration frameworks, LLM technologies, and emerging best practices.

Key skills/competency

• AI Solutions Development
• Product Management
• Business Analysis
• Prompt Engineering
• Workflow Automation
• Stakeholder Engagement
• Requirements Gathering
• API Integration
• Agile Development
• Generative AI