Google Cloud / Databricks Forward Deployed Engineer in Wealth and Asset Management

Requirements

• Experience with Google Cloud products.
• Experience implementing multi-agent systems and advanced prompt engineering.
• Compensation & Benefits
• We believe in supporting our team professionally and personally. Here's a snapshot of the comprehensive benefits you'll enjoy as part of Sia.
• Competitive Compensation
• Annual Base Salary Range: $135,000 - $147,000, commensurate with experience and qualifications
• Annual performance based discretionary bonus
• Robust Health Coverage
• 3 Medical plans
• Dental and Vision
• Life, AD&D and other voluntary insurance
• Tax-Advantaged Accounts
• 401K retirement plan
• 4% matching and 100% vested upon enrollment
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Health, Dependent Care, Commuter
• Family Friendly Benefits
• 100% paid parental leave for all new parents with eligible tenure
• Building Healthy Families program if enrolled through Medical plan
• Time Off to Recharge
• Generous Paid Time Off (PTO) policy
• 9 company holidays plus 1 floating holiday
• Extras that Make Life Easier
• College savings and student loan repayment assistance
• Monthly cell phone stipend
• Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement
• LiveHealth Online virtual care
• Personalized support from a Well-being Coach
• Employee Assistance Program at no cost
• Free confidential counseling and emotional support services
• On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management)
• Diversity, Equity, Inclusion & Belonging
• Sia is an equal opportunity employer . All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
• Office Workplace Guidelines
• Work Authorization & Sponsorship
• At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).

Benefits

Additional Information

A AWM (Asset Wealth Management) Google AI Forward Deployed Engineer (FDE) at Sia is an embedded "builder-doer" who acts as a bridge between Google's frontier AI products (Gemini, Vertex AI etc.) and real-world AI production systems in AWM. They work directly with large AWM customers to build, deploy, and ship custom Generative AI / Agentic AI applications, building prototypes and production-ready agents while troubleshooting technical integration challenges. Core Responsibilities Customer Embedding: Act as a technical partner on-site or directly with clients to drive AI adoption. PoC / Pilot: Rapidly prototype to go from ideation to PoC / pilots Productionizing AI: Develop, debug, and deploy Generative AI applications (e.g., agentic workflows, RAG systems, MCP servers etc.) using Python. Integration and Coding: Architect solutions that connect Google's AI products with customer legacy infrastructure, APIs, and databases. High-Impact Troubleshooting: Solve complex blockers to production, including data readiness, model latency, and system evaluation. Experience: 7+ years in a technical, customer-facing role (e.g., FDE, Solutions Engineer, SRE, Software Engineer). Technical Expertise: Strong proficiency in Python and experience with LLM orchestration frameworks (e.g., LangChain, LangGraph). AI Knowledge: Experience with API development, vector databases, and Retrieval-Augmented Generation (RAG). Experience with Google Gemini Enterprise Platform and Google data services (e.g. Big Query etc.) Data platform knowledge: Experience with Databricks delta lake and other parts of the data bricks data stack Agent Building: Experience with Agent building technologies (e.g. ADK, A2A, MCP etc). Experience with Agent Ontologies and memory management WAM: 5+ years of Wealth / Asset Management experience Problem Solving: High agency, ability to operate under ambiguity, and a "product" mindset

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