AL
Ameriprise Financial Services, LLCOIPA Engineer
OIPA Engineer providing technical guidance for Oracle Insurance Policy Administration solutions. Collaborating with teams to design and implement strategies aligned with business objectives.
About the role
- Design and build full-stack AI solutions (front-end, back-end, and integrations) to support GTM and internal teams.
- Develop agentic AI systems that automate complex workflows (e.g., pipeline forecasting, knowledge retrieval, reporting, customer engagement).
- Engineer data pipelines and integrations with enterprise SaaS platforms (Salesforce, Snowflake, Looker, Jira, Slack, etc.).
- Leverage GCP or AWS cloud infrastructure to deploy scalable, secure, and cost-efficient solutions.
- Partner with GTM stakeholders to identify and prioritize high-value problems, then rapidly prototype and iterate on solutions.
- Apply data engineering best practices to ensure high-quality, accessible, and actionable data across business functions.
- Collaborate cross-functionally with product, data science, and operations to evangelize internal AI adoption and best practices.
- Thrive in a scrappy, startup-style environment: experiment, learn fast, and deliver impact without waiting for perfect conditions.
Requirements
- 4+ years’ full-stack engineering experience (with Python, Java, Go, or similar)
- Hands-on cloud experience (AWS or GCP) with services for compute, data, and AI/ML
- Proven skills in data engineering (ETL pipelines, APIs, SQL/NoSQL, data warehouses like BigQuery/Redshift)
- Experience with AI agents, LLMs and orchestration frameworks (LangChain, AutoGen, LlamaIndex, etc.)
- Demonstrated ability to ship production-ready internal tools or SaaS integrations
- Strong problem-solver who can translate messy business requirements into clean technical solutions
- Excellent collaboration and communication skills with technical and non-technical stakeholders
- Bias for action and ability to thrive in ambiguity—comfortable experimenting and iterating in a fast-paced environment
- Nice to haves:
- Background in go-to-market engineering, revenue operations, or sales engineering
- Knowledge of business process automation, RPA, or workflow orchestration tools
- Experience in adtech, martech, or data-driven SaaS environments
- Contributions to open-source projects in AI/ML, data, or dev tools
Benefits
- Monthly allowance toward Health Care, Dental, Optical, Income Protection and Relevant Life
- Pension Scheme with 3% contribution from the Company
- Holidays: Total of 28 days per year (including UK Bank Holidays)
- Flexibly hybrid work schedule
- Summer Fridays (we leave early)
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