About The Role In this role you will work with SoftServe’s Autonomous Agentic Platform, Neo, which represents the next evolution in software engineering: an ecosystem where agents orchestrate agents, workflows adapt dynamically, and guardrails enable reliable autonomy at scale. You will translate ambiguous business and technical requirements into scalable solution architectures, engineering standards, execution models, technical contracts, and delivery‑ready implementation approaches. Responsibilities Shape the technical direction of a production‑grade Autonomous Agentic Platform Define reusable agentic engineering patterns, contracts, interfaces, workflows, and delivery slices for Agentic SDLC execution Lead 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 Establish 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 Advance Neo’s technical voice through papers, conference talks, client‑facing thought leadership, and reusable internal enablement for agentic engineering Requirements 10+ years of experience designing, building, and scaling complex software platforms, including AI‑centric distributed, event‑driven, or autonomous systems Strong hands‑on expertise with Python, TypeScript/JavaScript, React, Node.js, REST/OpenAPI service contracts, MCP integration, cloud‑native deployment patterns, CI/CD, observability, and automated testing Advanced AI/ML engineering experience with LLM‑based systems, including agentic workflows, retrieval and indexing strategies, context engineering, evaluation methodologies, and token‑budget management Strong understanding of architecture fundamentals, including microservices, C4 modeling, design patterns, and contract‑first engineering, with the ability to apply them to scalable autonomous agentic systems Experience leading engineers and cross‑functional teams through complex technical decisions, implementation tradeoffs, delivery risks, and production‑quality outcomes Strong evidence‑driven approach to technical leadership using metrics, benchmarking, validation results, and operational insights to improve system reliability and engineering execution Leadership Focus Leading People : Hire and onboard talent, build trust and inclusion, set clear priorities, coach growth, deliver results, and lead change aligned to our values. Leading Business : Deliver client value through business understanding, market and financial insight, global collaboration, and continuous improvement. SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. #J-18808-Ljbffr