We are seeking a Senior Data Scientist - GenAI & Agentic Systems to join our advanced analytics team supporting leading Investment, Banking, and Financial Services (BFS) clients. In this role, you will design, develop, and deploy state-of-the-art Generative AI and multi-agent solutions that drive critical business decisions across asset management, wealth management, and contact center operations..
Responsibilities:- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Design, develop, and deploy advanced RAG pipelines utilizing semantic chunking, hybrid search (dense + sparse BM25), and cross-encoder re-ranking models
- Build autonomous multi-agent workflows using ReAct loops, native tool calling, complex state management, and deterministic circuit breakers
- Develop parameter-efficient fine-tuning (PEFT) and alignment solutions (LoRA, QLoRA, RLHF, DPO) for large language models
- Translate highly non-linear enterprise problems into scalable AI architectures and technical prototypes
- Present architectural trade-offs (e.g., RoPE vs. ALiBi, MoE routing, Pre/Post-LN) and system designs to senior client stakeholders
- Lead technical deep-dive workshops on LLM evaluation (RAG Triad, LLM-as-a-Judge) and system safety (guardrails, prompt injection defense)
- Implement and operationalize AI models by writing raw, deterministic code, knowing exactly when to bypass heavy framework abstractions (LangChain, LlamaIndex)
- Perform large-scale data extraction, transformation, and analysis using expert-level SQL and Python.
- Partner with asset management, wealth management, and banking teams to understand complex operational requirements and translate them into AI architecture designs.
- Present architectural trade-offs, model insights, and system designs to senior client stakeholders and lead AI strategy discussions.
Requirements- 8 - 10 years of professional work experience with at least 5 years in Data Science
- Proficiency in Python and SQL
- 8-12 years of hands-on experience in applied Data Science, Machine Learning, and Artificial Intelligence.
- Strong domain experience in Banking & Financial Services (BFS), specifically Asset and Wealth Management. (Backgrounds in Insurance or Contact Center AI/Analytics are also highly considered).
- Deep theoretical and practical knowledge of NLP foundations, Transformer architectures (Multi-Head Self-Attention, Positional Encodings), and vector space mathematics.
- Proven hands-on experience building and deploying Agentic AI solutions and managing complex agent state across directional graphs.
- Expert-level proficiency in Python and SQL; this is a purely hands-on, Individual Contributor (IC) role requiring heavy daily coding.
- Experience configuring and optimizing Vector Databases (e.g., HNSW, IVFFlat indexing).
- Location: Must be based in the US (Malvern, PA or Dallas, TX preferred.
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
