Role Description The Professional Services AI Solutions Engineer plays a critical role in accelerating the effective adoption of AI tools and capabilities across Precisely’s Professional Services team and is designed for bridging the gap between cutting-edge AI and billable service delivery. The role will collaborate with technical, business, and operational teams to identify AI use cases, support implementation, and measure impact for Professional Services, ensuring AI solutions are practical, scalable, and aligned with business objectives. The Analyst is comfortable translating complex AI concepts into actionable insights and supporting stakeholders as AI becomes part of everyday workflows. What you will do: - Building AI Deployment Accelerators: - Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks. - Design "Configuration Agents" that auto-generate documentation and environment setups for product deployments. - Use Case Identification & ROI Strategy: - Audit Professional Services workflows to identify high-impact AI opportunities. - Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership. - Hands-on Agentic Engineering: - Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel. - Build systems capable of multi-step reasoning, self-correction, and tool-calling. - Team Enablement & Training: - Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content. - Self-Driven Governance & Scaling: - Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance. - Agentic Solutions: - Lead the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions. - Own customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments. Qualifications - Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field. - 3–5 years of experience supporting Professional Services delivery, consulting initiatives, or technology-enabled programs in a software or SaaS environment. - Experience supporting technology adoption, change management, or enablement across cross-functional teams. - Strong analytical and problem-solving skills with the ability to interpret data and derive actionable insights. - Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. - Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners. - Experience working with stakeholders at multiple levels, including technical and non-technical partners. - AI Enablement & Training background and excellent presentation skills a must. Requirements - Strong proficiency in Python, with hands-on experience building or enhancing AI-enabled workflows or internal accelerators. - Practical experience designing and implementing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations. - Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex. - Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk. - Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real-world solution delivery. AI Skills/Knowledge - Ability to identify and improve manual or repetitive Professional Services processes using AI or automation. - Clear analytical and communication skills, with the ability to explain AI-driven outcomes to consultants and delivery stakeholders. - Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI-first organization.

• Lead architecture for a complex Azure-to-AWS migration programme • Drive application and infrastructure modernisation initiatives • Guide senior stakeholders on cloud transformation strategy • Produce high and low-level designs, migration plans, and technical governance • Act as the senior technical authority throughout delivery

**What you will do** - Lead, mentor, and develop a high-performing team of Solutions Engineers, fostering a culture of technical excellence, accountability, and continuous growth. - Drive the technical sales strategy across North America, guiding discovery, solution design, demonstrations, and customer evaluations. - Partner closely with Sales leadership to align presales activities with revenue objectives and accelerate business growth. - Establish and scale best-in-class presales methodologies, processes, and tools to improve consistency, efficiency, and customer outcomes. - Act as a trusted advisor and executive sponsor on strategic enterprise opportunities, helping customers solve complex identity, fraud, and data challenges. - Champion the adoption of AI-enabled practices and technologies to enhance team productivity, customer engagement, and technical differentiation. - Collaborate cross-functionally with Product and Engineering teams to translate customer and market insights into future product innovation. - Leverage data and performance metrics to optimize technical win rates, evaluation success, deal velocity, and overall business impact. - Attract, hire, and retain top Solutions Engineering talent while building a scalable organization capable of supporting continued growth. - Serve as a key member of the Customer Engineering leadership team, helping shape the vision, strategy, and future direction of the function.

• Document and understand the customer’s current, future / desired state, business goals and challenges, capabilities, and IT investments. • Based on this understanding provide technical and strategic direction from initial solution design to steady state, based on industry and 11:11 Systems best practices • Serve as the single point of ownership for technology solutions and coordinate resources globally to optimize customer and 11:11 Systems value. • Implement and manage effective governance practices and procedures across contracted scope of responsibilities (including change, incident, request, event, problem, and vendor management) • Develop highly productive customer relationships and become a Trusted Advisor by providing thought leadership to help shape and grow our value to the customer • Direct lifecycle management (LCM) activities to maintain up to date technical documentation, including production & recovery configurations, application dependency maps, run books and procedures, patching schedules, overall solution architecture document, recovery strategies / plans and contract changes • Develop recovery strategies to meet customer RTO/RPO and conduct periodic testing to document recoverability • Manage service / relationship risk areas and takes steps to mitigate. • Contribute to securing renewals for expiring contracts by documenting and articulating our value to the customer. • Participate in engineering efforts required to develop new capabilities to meet customer requirements, document results and sample deliverables. • Identify sales opportunities and collaborate with Account Executives to grow revenue. • Process customer self-service sales requests when needed. • Meet/Exceed SLA targets by driving service management disciplines around incident, change, and problem management. • Develop content and effectively lead Monthly Service Reviews and Quarterly Business Reviews (QBRs) and other strategic client meetings requested by the customer. • Work supportively with colleagues, operating in a manner that is consistent with 11:11’s Code of Business Ethics and Company Values • Responsibly receive, transmit, and handle company data and information per Company data handling agreements, work procedures and policies • Review and follow company policies and guidelines, data privacy practices, including annual compliance training certification and policy acknowledgements • Additional duties as assigned