Solution Lead – Data, AI & Agentic Solutions

About the Role

We are looking for a hands-on, high-potential technology professional who wants to grow into a Solution Architect while helping us build the next generation of Data, AI and Agentic AI solutions for the Life Sciences industry.

This is not a traditional architect or people-management role. We are looking for someone who enjoys designing AND building someone who can move from a business problem to architecture, write code, integrate systems, build a working prototype, troubleshoot issues, and collaborate with engineering teams to take successful ideas toward production.

You will work closely with our onsite business/product team and Data, AI, BI, Integration and Salesforce specialists to develop reusable frameworks, accelerators, PoCs/PoVs and Agentic AI-driven products.

Our environment includes technologies such as Python, SQL, Snowflake, AWS/GCP, GenAI/LLMs, Agentic AI, Salesforce, APIs, Talend and Qlik.

You do not need to be an expert in all of these technologies. We value strong engineering fundamentals, problem-solving ability, learning agility, curiosity and ownership.

What You Will Do

• Translate business problems into practical data, AI and application solution designs.
• Remain hands-on with Python, SQL, APIs, data and AI technologies while developing architectural skills.
• Design and build GenAI, RAG and Agentic AI applications, including agents that interact with enterprise data, APIs and business applications.
• Develop rapid PoCs and PoVs to validate new product and client ideas.
• Help design reusable frameworks, accelerators, services and components rather than building every solution from scratch.
• Work with enterprise data platforms such as Snowflake and cloud services across AWS/GCP.
• Design integrations across data platforms, APIs, AI services and enterprise applications.
• Work with our Salesforce team on opportunities involving Salesforce Marketing Cloud, Health Cloud, Life Sciences Cloud, Data Cloud and Agentforce.
• Collaborate with Data, Integration, BI, AI and Salesforce engineering teams to take prototypes into scalable solutions.
• Participate directly in architecture, coding, debugging, integration, testing and technical problem solving.
• Learn Life Sciences and pharmaceutical commercial business processes, data and use cases with support from our domain team.
• Mentor junior engineers and gradually develop into an end-to-end Solution Architect.

What We Are Looking For

Strong foundation in:

• Python and software/application engineering
• SQL and data engineering concepts
• REST APIs and enterprise integrations
• Cloud technologies such as AWS and/or GCP
• System design and problem solving
• Building and troubleshooting real applications

Experience or strong exposure to some of the following:

• Generative AI / LLM application development
• RAG, embeddings and vector search
• AI agents, tool/function calling and multi-step workflows
• LangChain, LangGraph, LlamaIndex or similar frameworks
• Snowflake or another modern cloud data platform
• AWS services such as S3, Lambda, Glue and related services
• GCP / Vertex AI / Gemini
• Docker, Git and CI/CD
• Salesforce development/integration
• Salesforce Agentforce, Data Cloud or Life Sciences Cloud