AI Engineer / Lead / Architect | 100% Remote Role | 3Roles

Agentic AI Lead Location - Remote We are looking for an experienced Agentic AI Lead to design and develop AI-driven solutions for mainframe code modernization and conversion. The ideal candidate should have strong hands-on experience with Claude Code, Java/Spring Boot, AlloyDB, and SQL. Key Responsibilities: Design and build Agentic AI solutions and AI agents for mainframe code analysis and modernization. Use Claude Code and LLMs to develop intelligent agents for automated code conversion. Develop scalable backend services using Java and Spring Boot. Work with reputed company AlloyDB and SQL for data storage, processing, and integration. Define agent workflows, orchestration, and tool integrations. Lead the technical design, development, testing, and deployment of AI solutions. Collaborate with architects and engineering teams to deliver modernization initiatives. Provide technical leadership and mentor team members. Required Skills: Strong experience in Agentic AI / Generative AI and LLM-based applications. Hands-on expertise with Claude Code. Strong Java and Spring Boot development experience. Experience with AlloyDB and SQL. Experience with Mainframe/COBOL code modernization or migration. Strong understanding of AI agents, prompt engineering, LLM integration, and agent orchestration. Must Have: Claude Code, Agentic AI, Java, Spring Boot, AlloyDB, SQL, and Mainframe/COBOL modernization experience. Senior AI Architect Location - Remote About the Role: We are looking for a Senior AI Architect who will serve as the top AI/ML technical authority for the finance IT organization — someone who can translate a business transformation vision into a reputed company AI/ML technical strategy, design the end-to-end architecture that makes that strategy real, and guide engineering teams through detailed design and implementation. This is a highly senior, hands-on architecture role. You will operate at multiple altitudes: shaping multi-year AI/ML roadmaps with business and technology leaders, producing detailed reference architectures and design standards, and working directly with engineers to solve hard design problems. You will be the primary architectural voice for GenAI, machine learning, automation, and agentic systems across finance technology. What You'll Do Strategy & Vision • Define the AI/ML technical strategy that underpins the finance organization's broader business transformation vision. • Partner with business leaders and senior stakeholders to translate financial and operational goals into actionable AI/ML and automation initiatives. • Establish and evangelize an “AI-first” architectural philosophy across finance technology — identifying where GenAI, ML, and automation should be embedded by design rather than bolted on. • Act as a trusted advisor to business and technology executives on AI/ML capability, feasibility, risk, and value. Architecture & Roadmap • Create high-level automation and AI/ML architecture designs and multi-year technology roadmaps aligned to business priorities. • Architect AI/ML reputed company frameworks and platforms that can be reused across multiple finance use reputed company (fraud detection, forecasting, reconciliation, reporting, analytics, Intelligent document/content/Audio Processing and beyond). • Design high-performing, complex semantic layers using advanced techniques such as RAG, Knowledge Graphs, and GraphRAG, enabling natural language query against large, complex financial databases with extensive table relationships. • Define reference architectures for agentic AI workflows, including multi-agent orchestration, tool use, memory, and human-in-the-loop patterns for finance process automation. • Set architecture and design standards, frameworks, and best practices for AI/ML solution delivery across the organization. Detailed Design & Engineering Guidance • Produce detailed architecture designs — data flows, integration patterns, model serving, event-driven pipelines, security and governance controls — that engineering teams can build against. • Guide and mentor engineers through detailed technical design decisions, code/design reviews, and solution build-out. • Own architectural quality, scalability, and performance for high-volume financial data processing and analytics pipelines. • Evaluate and select tools, platforms, and frameworks (cloud-native and third-party) to support GenAI, ML, and automation initiatives. Delivery & Governance • Ensure solutions meet enterprise, regulatory, and financial-data governance requirements (data privacy, model risk, auditability, explainability). • Drive adoption of MLOps/LLMOps practices for model lifecycle management, monitoring, and continuous improvement. • Represent AI/ML architecture in design authority / architecture review forums and champion consistent standards across teams. Experience • 12+ years of progressive experience in enterprise architecture, cloud architecture, and distributed systems/platform solutions. • Pro