We are seeking an experienced Forward Deployed Engineering Lead to drive the design, development, and deployment of AI-driven and data-centric solutions while partnering closely with business and technology stakeholders. The ideal candidate will combine deep software engineering expertise, strong solution architecture capabilities, and customer-facing leadership skills to deliver scalable, secure, and innovative solutions aligned with strategic business objectives in a banking environment. Key Responsibilities
Lead engagements with business stakeholders to understand strategic objectives and translate them into scalable technical solutions.
Architect, design, and oversee the development of applications leveraging AI/ML, Generative AI, LLMs, and cloud-native technologies.
Provide technical leadership for solution design, implementation, deployment, and post-production support.
Drive the development of Proof of Concepts (PoCs), pilot programs, and enterprise-grade production solutions.
Lead cross-functional collaboration with Data Science, Data Engineering, Platform Engineering, and DevOps teams to operationalize AI solutions.
Build and govern integrations with enterprise applications, APIs, data platforms, and third-party services.
Establish best practices for software engineering, solution architecture, security, performance, scalability, and operational excellence.
Ensure compliance with banking regulations, security standards, and Responsible AI governance requirements.
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Mentor and guide engineering teams while driving technical excellence and innovation.
Manage stakeholder relationships, provide implementation guidance, and act as the primary technical advisor throughout project delivery.
Required Skills
8+ years of experience in software engineering, solution delivery, or AI-focused application development, including leadership responsibilities.
Strong programming expertise in Python, Java, Scala, or similar enterprise development technologies.
Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and AI/ML solution development.
Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms.
Strong understanding of REST APIs, Microservices, SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines.
Experience with Databricks, Apache Spark, Data Engineering frameworks, and modern data platforms.
Strong solution architecture, systems integration, and enterprise application design capabilities.
Excellent stakeholder management, consulting, and client-facing communication skills.
Proven experience leading technical teams and driving end-to-end solution delivery.
