Deployed AI Engineer

Required Skills: Python, ServiceNow, Salesforce, data platforms, AI workflow, API design, OpenAI, AnthropicJob DescriptionPartner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.Design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.Integrate AI capabilities with enterprise platforms and systems (e.g., ServiceNow, Salesforce, data platforms, internal services) using secure APIs and orchestration patterns.Rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.Lead solution architecture and design activities, including:Prompt engineering and AI workflow designAPI integration and service orchestrationEnterprise knowledge and data integrationSecurity, privacy, risk, and governance considerationsOwn solutions across the full lifecycle—from concept and proof of value through production deployment and continuous improvement.Apply and promote best practices for responsible AI, including model risk management, data protection, and compliance with enterprise and regulatory requirements.Contribute to the development of reusable patterns, standards, and guidance to support scalable AI adoption across the enterprise. Required Qualifications7+ years of software engineering experience, including designing and delivering production-grade systems.7 + experience with API design, integration, and distributed systems in an enterprise environment.2+ Years of Hands-on experience building and integrating AI or ML-powered applications, including experience with large language models (LLMs).2+ Years of experience in Python programming language. Desired QualificationsDemonstrated ability to translate ambiguous business requirements into well-architected technical solutions.Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.Experience working with AI platforms and services such as OpenAI, Anthropic, or similar technologies.Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, or internal workflow systems.Familiarity with enterprise security, privacy, governance, and risk management practices, particularly in regulated industries.Experience delivering solutions in large, matrixed organizations with multiple stakeholders.A product-minded approach with a focus on user experience, business value, and operational impact. Job ExpectationsAbility to work in a fast-paced environment with evolving priorities.Comfort operating in areas of ambiguity while maintaining strong engineering discipline.Commitment to risk management culture, including adherence to policies, controls, and governance requirements.