AI Engineer Jobs in Philadelphia, PA

Dechert LLP is a global specialist law firm focused on highend legal work. The AI Engineer is embedded within the Dechert Innovation Laband works directly with attorneys, legal professionals, and business-servicesteams to discover, evaluate, prototype, and pilot emerging AI-enabled technologiesthat may improve the delivery of legal services and firm operations. This roleoperates at the intersection of technology scouting, rapid experimentation,artificial intelligence, automation, and enterprise innovation.

The role translates complex legal and operational needs into testableprototypes and proof-of-concept solutions—including generative AI applications,retrieval-augmented generation (RAG) solutions, workflow automations,intelligent agents, integrations, and custom web applications—to assessfeasibility, value, and readiness for broader adoption.

The position is part of the Dechert Innovation Lab’s rapid-experimentationfunction and is responsible for moving high-value opportunities from ideathrough proof of concept and pilot, evaluating outcomes, and providingrecommendations on whether and how to transition successful experiments to theappropriate enterprise applications, platform, or operations team for productiondeployment and long-term support.

ESSENTIAL JOB FUNCTIONS:

• Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to identify innovation opportunities, understand workflows, pain points, and desired outcomes.
• Facilitate technical discovery and innovation sessions; assess business problems for AI, automation and emerging technologies.
• Rapidly design, develop, and evaluate proof-of-concept and pilot solutions using approved and emerging AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.
• Build and test experimental AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.
• Evaluate and select appropriate technical approaches based on innovation potential, business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.
• Experiment with solution success measures, such as feasibility, time saved, adoption potential, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.
• Evaluate pilot outcomes and recommend whether to transition successful experiments to the appropriate enterprise application teams.
• Relentlessly scout and stay ahead of the curve on AI engineering practices, legal-industry AI use cases, emerging tools and platforms, AI governance requirements, and applicable technology trends; recommend new technologies for future evaluation.
• Participate in intake prioritization, solution estimation, innovation pipeline planning, vendor evaluations, and portfolio reporting.
• Other responsibilities as needed.

KNOWLEDGE:

• Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Claude, Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.
• Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.
• Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.
• Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.

SKILLS:

• Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.
• Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.
• Ability to translate ambiguous business needs into testable hypotheses and experiment designs.
• Strong consultative and communication skills, with the ability to work effectively with attorneys, business leaders, technical teams, vendors, and nontechnical users.
• Strong analytical, problem-solving, and systems-thinking abilities.
• Ability to balance speed, experimentation, and learning with security, quality, governance, maintainability, and long-term supportability.
• Experience designing user-centered solutions and incorporating feedback into rapid experiment cycles and iterations.
• Comfort with ambiguity in a fast-moving environment with multiple concurrent initiatives.
• Resilience and persistence in iterative experimentation, including the ability to learn from unsuccessful outcomes, adapt approaches, and maintain momentum through successive testing cycles.

INTERESTS:

• Genuine curiosity about exploring emerging technologies and applying AI to meaningful legal, client-service, and business-operations challenges.
• Interest in working directly with end users to test solutions.
• Interest in responsible AI, data protection, human-centered design, and practical technology governance.
• Enthusiasm for hands-on experimentation, continuous learning, and evaluating emerging technologies.

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.
• Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, rapid prototyping, or related technical roles.
• Minimum of 2 years of experience designing, developing, prototyping, or piloting AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.
• Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Claude,
• Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.
• Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.
• Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management strongly preferred.
• Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment is preferred but not required.
• Experience working with cross-functional stakeholders and delivering technology solutions from discovery and experimentation through pilot and production deployment required.
• Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.