Jobs at Sia Partners

Consults with clients on compliance data needs, analyzes structured and unstructured data, builds predictive and machine learning models, and develops regulated GenAI and LLM applications. Responsibilities include data engineering, prompt optimization, AI agent development, dashboards, strategic decision support, regulatory intelligence, and AML analytics. The consultant also supports thought leadership, training, publications, business development, and client presentations.

Design, build, fine-tune, evaluate, and deploy generative AI and LLM solutions for clients. Responsibilities include prompt engineering, RAG architecture, model selection, application development, MLOps integration, cloud deployment, responsible AI, security, compliance, research, documentation, and stakeholder collaboration. The role bridges technical and business teams to deliver scalable, secure, and cost-effective GenAI products.

Provide forward-deployed consulting and business analysis for financial services clients. Apply AI, analytics, automation, and traditional consulting methods to assess processes, systems, data, risks, and business needs. Translate requirements into user stories, process flows, data requirements, and acceptance criteria; support solution design, implementations, testing, and operational transformation. Manage workstreams, stakeholders, risks, and deliverables while preparing executive communications, proposals, and client-ready documentation.

Lead and deliver payments consulting engagements: advise on U.S. payments regulations and standards, develop compliance frameworks, support product strategy and roadmaps, manage delivery using SAFe and Agile tools, drive business development, and coordinate cross-functional teams and client relationships.

Designs end-to-end cloud, data, machine learning, deep learning, generative AI, and agent-based architectures for client engagements. Leads architecture reviews, technical governance, production readiness, security, compliance, scalability, reliability, and cost optimization. Partners with senior stakeholders, supports pre-sales scoping and proposals, mentors consultants and engineers, and develops AI reference architectures and internal accelerators.

Designs, deploys, and operationalizes generative AI solutions for clients, including LLM agents, RAG pipelines, workflow automation, and conversational interfaces. Integrates solutions with APIs, databases, and business tools; supports adoption through training and change management; iterates with stakeholders to deliver measurable value. The role also contributes to AI research, internal offerings, publications, and business development.

Designs, deploys, and integrates production generative AI solutions for clients, including LLM agents, RAG pipelines, workflow automation, and conversational interfaces. Translates business needs into technical solutions, connects systems through APIs and databases, operates cloud deployments, and drives adoption through training and change management. Contributes to AI research, internal offerings, publications, and business development.

Serve as a forward-deployed business analyst and strategic advisor for financial services clients. Apply AI, analytics, automation, and consulting methods to analyze processes, define requirements, design solutions, support implementations, and drive business outcomes. Collaborate with business, product, data, and technology stakeholders; own workstreams, manage risks and dependencies, conduct testing support, and create executive-ready deliverables. Contribute to proposals, business development, and thought leadership on digital, data, and AI trends.