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
BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.