Senior AI Data ScientistYour Mission as a Senior AI Data ScientistEnergage is seeking a
Senior AI Data Scientist to join our AI and Product Innovation team. This role is designed for an
AI-native, product-minded data scientist - someone who works fluently in Python, thinks in terms of models, agents, and reasoning systems, and enjoys turning ambiguity into intelligent product capabilities.
You will help shape the future of Employee Experience and Talent Management by building
AI-driven Advisors, Assistants, and Analysts that help leaders understand their organizations, ask better questions, and take better action.
You will drive the design and delivery of
production-grade AI systems built on large language models, agentic workflows, retrieval-augmented generation (RAG), and knowledge graphs. This is
not a pure AI engineering or infrastructure role - it is a hands-on, applied AI and data science role focused on reasoning, analytics, and decision support, with strong ownership from concept through production.
Accountability and Impact: In this role, you'll...- Design and deliver AI-powered advisors, assistants, and analytic agents that reason over organizational data, context, and knowledge to support real workplace decisions.
- Build and maintain high-quality, production-ready Python services that power AI applications and backend services that integrate into Energage's platform.
- Apply, adapt, and fine-tune foundation models (OpenAI, Gemini, Claude, etc.) to deliver reliable, context-aware, and explainable AI experiences.
- Architect agentic AI systems that coordinate reasoning, planning, and tool use using frameworks such as CrewAI, LangChain, Autogen, or similar.
- Design and evolve RAG pipelines and knowledge-based approaches, enabling AI systems to ground responses in organizational data and domain expertise.
- Develop and systematically test prompting strategies, agent behaviors, and interaction patterns to optimize accuracy, robustness, and user trust.
- Enable conversational analytics, allowing users to explore data, generate insights, and answer complex questions through natural language.
- Partner closely with product managers, engineers, and researchers to move AI Capabilities from prototype to scalable, production-ready features.
- Stay current with emerging trends in Generative AI and Agentic AI, translating emerging techniques into practical product innovation.
- Clearly communicate AI concepts, tradeoffs, and insights to both technical and non-technical stakeholders.
What Success Could Look Like (First 6-12 Months)- One or more AI advisors or analytic agents you've designed are in production and actively used by customers.
- AI outputs are demonstrably grounded in data and trusted by users.
- Prompting, evaluation, and agent patterns you've established become reusable standards across the team.
- Product and engineering partners rely on you as a thought partner for AI-driven decision support.
- You help raise the overall bar for applied AI quality, safety, and clarity at Energage.
What You Will Bring to the RoleRequired Qualifications- 5+ years of experience in applied AI, data science, or machine learning, with meaningful hands-on work in generative AI.
- Strong Python expertise, with experience building data-centric or AI-driven services used in production environments.
- Practical experience working with LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.).
- Deep skill in prompt engineering, including structured prompt design, evaluation, and iteration for complex, multi-step reasoning tasks.
- Solid understanding of agentic AI concepts, such as multi-agent coordination, planning, tool invocation, and memory.
- Experience designing and implementing RAG architectures, including vector search and knowledge-grounded reasoning.
- Familiarity with AI agent frameworks such as CrewAI, LangChain, Autogen, or similar tools.
- Track record of delivering production-quality AI solutions, including testing, monitoring, and iterative improvement.
- Strong communication skills and the ability to explain AI behavior, limitations, and outcomes clearly.
- Comfort operating in ambiguous, early-stage problem spaces, with curiosity and a strong sense of ownership.
Preferred Qualifications- Experience embedding AI into SaaS or enterprise products, especially user-facing, decision-support systems.
- Hands-on experience designing or implementing MCP servers to expose tools, data, or workflows for agentic systems.
- Experience using AI to interrogate data, generate insights, and support analytical reasoning via natural language interfaces.
- Familiarity with vector databases and semantic search technologies (e.g., Pinecone, Weaviate, Chroma).
- Experience supporting AI-driven insights with analytics pipelines or data visualization.
- Working knowledge of cloud platforms (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes), without a focus on heavy infrastructure ownership.
- Interest or background in HR Tech, people science, employee experience, or organizational analytics.
Compensation and Benefits:This position has a salary range of
$175,000 to $195,000 annually based on relevant experience. This role is also company bonus eligible.
In addition to base pay, our total rewards package includes:
- PTO policy includes company holidays, sick time, vacation time, and floating holidays
- Remote
- Company pays a portion of individual health care premium
- Option to participate in a company-sponsored 401(k)
- Training and education
- Professional development; all employees have access to a third party professional coach
- Tuition reimbursement program
- Opportunity to work for a purpose-driven organization using business as a force for good (https://www.bcorporation.net/)
Energage is a remote workplace with employees in various US locations. While our employees enjoy the flexibility of daily remote work, they are also given the occasional opportunity for in person interaction. This includes in our office in Exton Pa, or in a coworking space/out in their local area. This role is available for remote work in the following states:
- Arizona
- Delaware
- Florida
- Georgia
- Maryland
- Michigan
- North Carolina
- Nebraska
- New Jersey
- New York STATE (NYC residents excluded)
- Pennsylvania
- South Carolina
- Tennessee
- Texas
- Wisconsin
If you reside outside of the above locations, you will not be considered for this role. 
