Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact. Together, our team delivers solutions that make a difference. Learn more at https://www.intellectsoft.net/ You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing. This role is for engineers who thrive in "high-unknown" environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality

• Architect and scale our SOX compliance program by designing, developing, and maintaining AI-driven testing that enhances accuracy, provides real-time insights, and reduces manual overhead. • Spearhead the testing of internal controls using agentic AI systems to identify and mitigate potential threats. • Partner closely with Engineering, IT, and business teams to integrate our AI automation with internal systems, enabling end-to-end automated assurance workflows. • Serve as a subject matter expert and champion for the use of AI and automation in risk management. • Contribute to a culture of innovation and excellence within the Risk Advisory and Assurance team.

• Engage with internal and external clients and stakeholders to understand their business objectives and identify potential AI applications. • Analyze current processes and propose AI solutions to enhance efficiency, accuracy and scalability. • Communicate the benefits, risks and ROI of AI solutions to business stakeholders. • Collaborate with cross-functional teams to gather technical and functional requirements. • Document and prioritize AI requirements ensuring alignment with business goals. • Develop and implement PoC solutions tailored to business needs. • Collaborate with data scientists and other technical stakeholders to optimize AI models. • Validate and test PoC solutions ensuring they meet the set requirements and desired outcomes. • Act as a liaison between the technical team and non-technical stakeholders. • Present complex AI concepts in a clear and understandable manner to all levels of the organization. • Gather feedback from stakeholders and iterate on solutions accordingly.

• Lead overall technical strategy and execution governance across all four phases (Align, Operationalize, Automate, Transition) • Translate business and AI Factory objectives into reliability, security, performance, and automation targets • Own end-state SRE operating model definition and phased adoption • Guide architectural and tooling decisions to balance innovation with operational stability • Serve as primary escalation point for cross-team technical and delivery risks • Facilitate executive alignment, design sign-offs, and phase exit approvals • Ensure success metrics (availability, automation coverage, MTTR, FinOps targets) are defined and tracked • Coordinate with Solution Owner, Principal Architect, and DevOps Architect to maintain coherence across workstreams • Support client capability building through structured shadowing, guided operations, and transition milestones • Provide strategic oversight for Innovation POD activation and outcomes