AI Solution Design & Development Design, develop, and deploy AI agents that automate, orchestrate, or augment business workflows across enterprise platforms Build agentic workflows using tools such as: Microsoft Copilot Studio / Azure OpenAI OpenAI (ChatGPT / Assistants / GPT APIs) Implement multi‑step reasoning, tool calling, retrieval‑augmented generation (RAG), and decision logic within AI agents Develop APIs and backend services to support AI‑driven workflows Contribute to enterprise AI architecture standards, patterns, and best practices Implement prompt management, versioning, and testing strategies Ensure AI solutions meet security, privacy, and compliance requirements (PII handling, data residency, access control) Apply AI guardrails, validation rules, and safety controls to prevent hallucinations or misuse Establish evaluation metrics for AI agents (accuracy, reliability, latency, business impact) Support PoCs, pilots, and production rollouts of AI initiatives Provide knowledge transfer and technical guidance to internal teams 8+ years of experience in software engineering, platform integration, or AI/ML solution development Hands‑on experience building AI solutions using one or more of: Microsoft Copilot / Copilot Studio OpenAI (ChatGPT, Assistants API) Google Agentspace / Vertex AI Strong experience with AI agent concepts: Prompt engineering Tool/function calling RAG architectures Agent orchestration and workflow chaining Proficiency in one or more programming languages: Python, JavaScript/TypeScript, Java, or C Experience with REST APIs, event‑based integrations, and microservices Familiarity with cloud platforms (Azure, GCP, or AWS) Hands‑on integration experience with at least one major enterprise platform: Salesforce ERP systems (MS Dynamics 365, etc.) Microsoft 365 / SharePoint / Teams Strong understanding of enterprise security, authentication (OAuth, SSO), and role‑based access control Experience working with enterprise data models and large‑scale production systems Experience with Salesforce Apex, Flow, Platform Events, or Salesforce APIs Experience implementing AI governance frameworks or model risk controls Exposure to CI/CD pipelines for AI and backend services Familiarity with LLM evaluation frameworks, test automation, or AI monitoring tools Prior experience delivering AI solutions in regulated or large enterprise environments Experience working with global, distributed teams
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.