At a Glance
- Tasks: Build and scale AI solutions while mentoring engineers and driving engineering excellence.
- Company: Join a leading firm in Global Securities Settlements Technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on continuous improvement.
- Why this job: Make an impact by accelerating AI adoption and delivering innovative solutions.
- Qualifications: 6+ years in software engineering with a focus on AI and cloud-native architectures.
The predicted salary is between 135000 - 165000 $ per year.
We are seeking a highly skilled Senior AI Solutions Engineer to join our Global Securities Settlements Technology team. This role focuses on building reusable AI frameworks, patterns, and reference architectures that accelerate AI adoption across the firm. Operating at the intersection of software engineering, applied AI, and platform thinking, you will enable teams to deliver AI-powered solutions faster, safer, and at scale.
Key Responsibilities
- Build and Scale AI Solutions
- Design and deliver production-grade AI-enabled applications using modern full stack and cloud-native patterns
- Develop reusable AI frameworks and reference implementations (e.g., RAG, document processing, agent/workflow patterns)
- Integrate AI into enterprise platforms with strong engineering discipline (clean code, automation, observability, reliability)
- Apply AI with an AI First Mindset
- Use AI to accelerate delivery, reduce friction, and scale outcomes
- Implement applied GenAI patterns including RAG, prompt/tool orchestration, agentic workflows, and evaluation with guardrails
- Enable Teams and Drive Engineering Excellence
- Simplify complex AI implementations into repeatable patterns
- Mentor engineers and lead architecture/design reviews to raise quality and consistency
- Partner with stakeholders on requirements and milestones
- Own DevOps hygiene (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvement
Required Qualifications
- AI-first builder mindset with strong technical communication skills
- 6+ years of experience building and operating production full stack systems at scale
- Hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
- Strong foundation in system design, scalability, resiliency, security, and observability
- Proven experience building AI/GenAI-powered applications in production environments
- Applied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
- Proficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)
- Experience with CI/CD, automated testing, and production observability
Preferred Qualifications
- Public cloud experience (Azure preferred)
- Experience building internal platforms, frameworks, or developer tooling
- Familiarity with vector databases, embeddings, Kafka, or high-volume messaging systems
- Experience in regulated or financial services environments
- Experience working with globally distributed engineering teams
Certifications
- None required; cloud or AI-related certifications are a plus
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