AI Solution Engineer – (GenAI, LLMs)

Are you passionate about developing cutting-edge AI solutions for financial services? Apply Now!

Working with one of our top financial clients, this role calls for an AI Solution Engineer – (GenAI, LLMs) in the banking sector. This position involves designing and implementing intelligent, scalable AI-powered applications specifically tailored to enhance wealth management workflows, client engagement, and operational efficiency.

Responsibilities

Collaborate with business teams to identify high-impact use cases for GenAI and agent-based systems that improve client experience and advisor productivity
Architect and prototype intelligent solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), and agent orchestration frameworks like LangChain, LangGraph, and AutoGen
Build and integrate autonomous agents for multi-step tasks such as financial planning, client onboarding, and investment analysis, connecting with CRM, portfolio, and data platforms
Deploy, monitor, and maintain GenAI-powered applications, ensuring performance, security, and compliance with financial regulations
Work closely with product managers, compliance teams, and wealth advisors to align solutions with business objectives and regulatory standards
Develop comprehensive technical documentation, demonstrations, and training materials to support adoption and scaling across the organization
Provide post-launch support by monitoring system performance, troubleshooting issues, and escalating technical challenges as needed
Stay current with advancements in AI, LLMs, and agent frameworks; communicate insights to influence product and engineering roadmaps
Implement guardrails, monitoring, and feedback mechanisms to ensure responsible, safe, and compliant AI behavior; contribute to Responsible AI practices
Lead workshops, training sessions, and co-creation initiatives to foster AI literacy and responsible experimentation within teams
Desired Skill-Set

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in AI/ML solution design and deployment, preferably within financial services or regulated industries
Hands-on experience with LLMs, agent frameworks, and orchestration tools (e.g., LangChain, AutoGen, Hugging Face)
Strong systems design and solution architecture skills
Proficiency with cloud platforms (Azure, AWS, GCP), MLOps, and secure deployment practices
Skilled in Python and/or JavaScript; experience with REST APIs and integration patterns
Familiarity with version control systems (e.g., GitHub) and CI/CD pipelines
Knowledge of AI evaluation, interpretability, ethical AI principles, and regulatory compliance
Excellent communication and collaboration skills for cross-functional teams
Understanding of financial services and wealth management environments is an asset
Experience with Agile methodologies and rapid prototyping
Growth mindset with a passion for teaching and building responsible AI capabilities
Nice-to-Have

Experience with frontend frameworks (React, Angular, Vue) for developing user-facing AI tools
Knowledge of authentication protocols (OAuth, SAML, JWT)
Experience with data visualization tools (Tableau, Power BI, matplotlib)
Exposure to prompt engineering and LLM fine-tuning
Familiarity with containerization (Docker, Kubernetes) and cloud-native deployment
Prior experience with SaaS and enterprise system integrations
Banking or financial services sector experience