AI Developer (Generative AI & Agentic AI)
Location: Remote / Hybrid (Wayne, PA Preferred)
Business Unit: US RBU
Position Overview
A client of DWS is seeking a highly motivated AI Developer with hands-on experience in Generative AI, Machine Learning, and Agentic AI technologies to develop intelligent solutions that automate business processes, enhance user productivity, and improve data-driven decision making.
The successful candidate will design, build, and deploy AI-powered applications including AI agents, copilots, retrieval-augmented generation (RAG) solutions, conversational assistants, and workflow automation platforms. This role requires a strong software engineering foundation combined with practical experience implementing production-ready AI systems within enterprise environments.
Key Responsibilities
AI & Agentic Solution Development
- Design, develop, and deploy AI-powered applications, AI agents, copilots, and intelligent automation solutions.
- Implement Agentic AI frameworks that leverage planning, reasoning, memory, orchestration, and tool usage capabilities.
- Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, enterprise knowledge repositories, and semantic search technologies. Build scalable AI services using Large Language Models (LLMs) and cloud-native architectures.
- Integrate AI capabilities into enterprise applications, data platforms, and business workflows.
- Develop APIs, microservices, and backend services that support AI applications.
- Build integrations with enterprise systems including CRM, MDM, data governance, and cloud platforms.
- Collaborate with product managers, architects, data engineers, and business stakeholders to translate business requirements into scalable AI solutions.
- Support the deployment, monitoring, and optimization of AI applications in development, test, and production environments.
- Implement LLMOps and MLOps best practices for model lifecycle management, version control, evaluation, monitoring, and governance.
- Monitor solution performance, usage, and operational metrics to continuously improve user experience and business outcomes.
- Ensure AI solutions comply with healthcare and life sciences regulatory requirements.
- Implement auditability, traceability, access controls, and monitoring across AI applications.
Required Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
Experience
- 3–4 years of hands-on experience developing AI/ML solutions in enterprise environments.
- 2+ years of experience building solutions using Agentic AI technologies and Generative AI frameworks.
- Relevant experience delivering production-ready AI applications from concept through deployment.
Preferred Technical Skills
AI & Generative AI:
- Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation Frameworks .
- Experience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex
Programming & Development:
- Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks
Cloud & Data Platforms: experience with one or more
Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services
Data & Integration: Any of the below or more
Vector Databases, Azure AI Search, PostgreSQL, Snowflake
Preferred Qualifications
- Experience developing AI solutions within healthcare, pharmaceutical, life sciences, or regulated industries.
- Familiarity with Master Data Management (MDM), Data Governance, and Stewardship solutions.
- Experience implementing LLMOps/MLOps pipelines.
- Knowledge of AI security, model evaluation, and responsible AI practices.
- Experience integrating AI services into Salesforce, enterprise workflow platforms, or customer-facing applications.
