Agentic Solution Architect - Remote

We are looking for an Agentic Solution Architect who can set technical direction, guide engineering teams, partner with clients, turn ambiguous goals into scalable agentic solution patterns, and deliver production-ready autonomous systems in real client environments. SoftServe’s Autonomous Agentic Platform, Neo, represents the next evolution in software engineering: an ecosystem where agents orchestrate agents, workflows adapt dynamically, and guardrails enable reliable autonomy at scale.

Responsibilities

• Help shape the technical direction of a production-grade Autonomous Agentic Platform
• Design and evolve reusable agentic engineering patterns, contracts, interfaces, workflows, and delivery slices for Agentic SDLC execution
• Drive implementation strategy across agent workflows, MCP tools, context pipelines, orchestration patterns, and platform services
• Partner with architects, product owners, and client stakeholders to turn vision into executable technical systems
• Make high-impact technical decisions that balance speed, quality, scalability, reliability, and client delivery needs
• Evolve engineering standards for code quality, testing, observability, documentation, operational readiness, and agentic workflow governance
• Mentor technical leads and engineers by clarifying architecture, resolving design questions, and raising the quality bar
• Use metrics, benchmarking, and validation evidence to improve platform reliability, agent performance, and delivery quality
• Build practical processes and tooling that help teams execute agentic engineering at scale
• Contribute to Neo’s technical voice through papers, conference talks, client-facing thought leadership, and reusable internal enablement for agentic engineering

Requirements

• A systems thinker with experience designing software architectures and translating complex requirements into scalable technical solutions
• Hands-on experience across our core agentic engineering stack: Python and TypeScript/JavaScript; React and Node.js; REST/OpenAPI service contracts; MCP tool integration; vector databases, retrieval architectures, and knowledge graph concepts; cloud-native deployment patterns; CI/CD; observability; and automated testing
• Experience with AI/ML engineering and LLM-based systems, including agentic workflows, retrieval and indexing strategies, context engineering, evaluation frameworks, model orchestration, and managing context, latency, cost, and quality tradeoffs
• Fluent in partnering with AI agents and agentic workflows in daily engineering execution
• Grounded in architecture fundamentals such as microservices, C4 modeling, design patterns, and contract-first engineering, with the ability to apply those foundations to autonomous agentic systems
• Able to turn business and technical goals into solution architecture, technical contracts, execution models, and implementation plans
• Comfortable guiding engineers through complex technical decisions, implementation tradeoffs, and delivery risks
• Evidence-driven in technical decision-making, using metrics, benchmarking, validation results, and system behavior to improve architecture and solution quality
• A strong communicator who can align engineers, architects, product stakeholders, executives, and client teams around technical direction and delivery priorities
• Motivated to explore emerging agentic engineering patterns and bring practical innovation to clients