• Own a portfolio of 70–85 accounts across 5+ products, with primary responsibility for retention, adoption, and net revenue retention • Drive proactive engagement through regular client touchpoints, optimization check-ins, and usage reviews that surface risk early and reinforce value • Manage the full renewal cycle — forecasting, negotiating multi-year terms and annual price increases, and closing on time, with commission tied to retention outcomes • Monitor product usage and adoption metrics; translate trends into proactive outreach and concrete recommendations that move clients forward • Track and document each client's goals and success metrics throughout the lifecycle, consistently demonstrating value back to the client as milestones are reached • Identify and flag expansion signals to the sales or account management team; collaborate to bring those opportunities to close • Serve as the primary point of contact across the client lifecycle, building relationships at multiple levels of the client organization • Lead high-level product training sessions, webinars, and onboarding for new users across your accounts • Maintain regular communication with product support and retention leadership, sharing account health insights (positive and at-risk) to support overall retention efforts • Collaborate cross-functionally with Support, Product, and Implementation teams to resolve client issues and escalate appropriately • Contribute to knowledge base content and internal best practice documentation • Participate in Mitratech client advocacy programs, events, and thought leadership initiatives

• Lead end-to-end implementation projects and ensure successful delivery • Facilitate discovery sessions and act as a trusted advisor to clients • Design scalable, thoughtful solution architectures aligned to business goals • Document and present solution designs for stakeholder approval • Oversee build activities and participate in hands-on configuration, as needed • Guide quality assurance and ensure high standards across deliverables • Lead client walkthroughs and support go-live activities

• Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. • Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. • Build the business case, quantify projected impact, and align with domain leadership on priorities. • Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). • Define the target workflow: what the agent does, what the human does, and where they hand off. • Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). • Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. • Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. • Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. • Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems. • Own agent performance end-to-end. Track the KPIs that matter — throughput, quality, cost, human intervention rate, cycle time, adoption. • Build and manage evals. Re-run them on any material model, data, or workflow change before it ships. • Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they’re no longer the right tool. • Instrument observability: tracing, structured logs, dashboards.

Role Description We are seeking an experienced AI Solutions Architect / AI Engineering Advisor to lead the design, strategy, and deployment of Generative AI solutions on AWS. This is a highly consultative and stakeholder-facing role that combines deep technical expertise with strategic advisory responsibilities. The ideal candidate will serve as a trusted advisor to customer leadership teams, helping define AI roadmaps, governance frameworks, and scalable architectures while guiding the successful implementation of AI-powered applications. Key Responsibilities - Design and architect Generative AI solutions on AWS - Advise customer leadership on AI strategy, adoption, and governance - Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models - Design Retrieval-Augmented Generation (RAG) architectures - Implement embeddings and vector database solutions - Evaluate and recommend foundation models based on business requirements - Establish AI governance, security, and responsible AI best practices - Collaborate with engineering teams to operationalize AI solutions in production - Provide architectural guidance and technical leadership across AI initiatives Qualifications - 5+ years of experience in cloud architecture, AI/ML, software engineering, or related fields - Hands-on experience designing and deploying Generative AI solutions - Strong knowledge of Amazon Bedrock and AWS AI services - Experience with foundation models, prompt engineering, and LLM-based applications - Experience building Retrieval-Augmented Generation (RAG) solutions - Knowledge of embeddings and vector database technologies - Strong understanding of scalable cloud architectures and application deployment - Excellent communication and stakeholder management skills - Ability to engage with both technical teams and executive leadership Preferred Qualifications - AWS Certified Solutions Architect (Associate or Professional) - Experience advising enterprise customers on AI transformation initiatives - Knowledge of AI governance, risk management, and responsible AI frameworks - Experience leading AI strategy and architecture discussions with executive stakeholders - Background in machine learning, cloud-native application development, or data platforms Requirements - Candidates must be willing to undergo fingerprinting and a government background investigation (CJIS-type clearance process). - This position requires eligibility to work in the United States without current or future visa sponsorship. (Green Card holder)