AI Solution Engineer
5 hours ago
Job Description
Our client is seeking an innovative and technically skilled AI Solution Engineer to design, prototype, and deliver next-generation intelligent solutions, leveraging GenAI, LLMs, and agent-based technologies.
Key Responsibilities:
- Solution Design & Delivery: Architect and prototype high-impact AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks (e.g., LangChain, AutoGen) to transform advisor workflows and client engagement.
- Agent Development & Integration: Build and integrate autonomous agents for multi-step financial tasks (e.g., financial planning, client onboarding), connecting them securely with core platforms (CRM, portfolio, data).
- Compliance & Responsible AI: Deploy and maintain GenAI applications, ensuring performance, security, and compliance with financial regulations. Implement guardrails and monitoring to ensure reliable and compliant agent behavior.
- Enablement & Collaboration: Collaborate with business, product, and compliance teams. Develop documentation, run workshops, and provide mentorship to support the adoption and scaling of AI capabilities.
What You Bring:
- Bachelor's or Master's degree in Computer Science or a related field.
- 3+ years of experience in AI/ML solution design and delivery, preferably in financial services or a regulated industry.
- Hands-on expertise with LLMs, agent frameworks, and AI orchestration tools (e.g., LangChain, AutoGen, Hugging Face).
- Strong systems design and solution architecture skills.
- Familiarity with cloud platforms (Azure, AWS, GCP), MLOps, and secure application deployment.
- Proficiency in Python and/or JavaScript.
- Excellent cross-functional collaboration skills; ability to translate business needs into technical solutions.
Nice-to-Have Skills: Experience with frontend frameworks, data visualization tools, prompt engineering, containerization (Docker, Kubernetes), and enterprise system integration.
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