Solutions Architect

gBased in Palo Alto, California, Turing is the world's first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies . Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing's leadership team comprises AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Stanford, Caltech, and MIT, as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, and Bai n. About the ro le: Turing is looking for an AI Engagement Lead / Solution Archit ect to lead a GenAI engagement end-to-end for a Fortune 500 financial-services client — from POC through full-scale implementation. You will act as the single point of accountability for both the architecture and the delivery: you own the solution design and the key technical decisions, and you lead the client relationship and program to a successful, governed release. You will direct a team of Turing specialists (AI/ML engineers, integration and automation engineers) and partner with the client's own architects, business analysts, and valuation SM Es. This is an accountable architect-lead r ole. You are expected to make and own the right design decisions, set the guardrails, and govern delivery — leaning on your specialist engineers to build the deep compone nts. Required s kills10+ years of professional experience, with 4+ years driving Machine Learning / AI projects and solution de sign.Accountable ownership of solution architecture — able to set the target architecture, make and defend key design decisions, and be answerable for them to the cl ient.Good working understanding of modern GenAI agentic designs and frameworks (e.g., LangChain / LangGraph) and of AI integration patterns (including MCP (Model Context Protocol)-style tool and data integra tion.Ability to define security boundaries and model/tool controls — what an AI system is allowed to access and do, guardrails against incorrect or unverifiable outputs, and human-in-the-loop checkpo ints.Experience establishing delivery governance and release gates — clear quality, security, and compliance criteria that each release must pass before go- live.Understanding of Cloud services (Azure, GCP, or AWS) and Agile delivery with tools like JIRA and Conflu ence.Excellent communication and stakeholder management to collaborate with senior client SMEs; an entrepreneurial, founder's mindset to own delivery end-to -end.Good to have: exposure to financial-services / asset-management valuation workflows or other regulated enterprise dom litiesArchitecture & Technical Accountab ility:Own the solution architecture and the key design decisions across the platform and remain accountable for them with the c lient.Guide integration design, including MCP integration patterns and how the AI system connects to the client's data and tools.Learn the client's workflow well enough to translate business needs into a sound, practical technical app roach.Define security boundaries and model/tool controls — access limits, guardrails, and human-review checkpoints that keep sensitive outputs correct and contr olled.Provide technical direction to the engineering team on solutioning and system design; align them to a technical roadmap and ensure timely exec ution.Delivery Governance & Release Gates:Establish and enforce release gates — the quality, security, and compliance signoffs required before each re lease.Own overall delivery so scope, quality, and timelines are consistently met; manage the big-picture program timeline (releases, phases, go-live plans) using engineering velocity/capacity inputs from t he EM.Ensure delivery decisions reflect cost, ROI, and long-term business i mpact.Identify delivery risks, create proactive mitigation plans, and track program health across all miles tones.Ensure robust business-facing documentation — requirements/BRDs/PRDs, implementation plans, and roa dmaps.Client Relationship & Communic ation:Lead discussions with the client to shape the AI roadmap and expand into new proc esses.Act as the primary point of contact for communication, feedback, and escalations; manage expectations proact ively.Evaluate use-cases for new development and unlock new value for the c lient.Participate in the client's internal stakeholder meetings to capture, clarify, and consolidate requirements into actionable product ation:Drive cross-functional alignment across engineering, product, and client teams.Remove blockers for client and internal teams through clear communication and effective prioritiz ation.Conduct regular 1:1s focused on support, delivery alignment, and well- being.Acknowledge new client requests promptly and partner with the EM to assess feasibility, capacity, and timeline impact before commi #J-18808-Ljbffr