Responsibilities
- Design, build and maintain AI accelerators that enhance productivity and reduce delivery effort across data-migration workflows.
- Develop agentic and workflow-automation solutions (multi-agent orchestration, task routing, tool-use pipelines, etc.).
- Implement robust context-management strategies (retrieval pipelines, memory stores, episodic context, session-state control).
- Architect reliable production systems including evaluation, telemetry, failure-handling, and safety/guardrail patterns.
- Partner with engineering and delivery teams to adapt accelerators to live projects and real-world migration scenarios.
- Provide architectural guidance, mentorship, and code reviews for junior and mid-level engineers working on related accelerators.
- Establish development standards, reusable frameworks, and reference implementations to support scale and reuse.
- Collaborate with product and delivery stakeholders to translate business workflows into
- Contribute to documentation, training materials, and onboarding guidance for accelerator adoption across teams.
Basic qualifications
- 6+ years of professional software engineering experience, with at least 3+ years in applied AI / LLM systems.
- Python as a primary language
- Architectural design; code quality best-practices
- CI/CD and deployment patterns
- Experience working in consulting, platform engineering, or accelerator-style reusable asset development.
- Prior involvement in data-migration, modernization, or analytics engineering programs is a strong plus.
- Strong expertise in LLM-based application development (LangChain, LangGraph, Semantic Kernel, custom orchestration)
- Experience with agentic design patterns
- RAG pipelines and embedding strategies, Retrieval quality evaluation, Grounding and prompt-context isolation
- Experience designing observability and evaluation loops for AI workflows
- Experience integrating LLM systems with Data platforms / warehouses, Metadata systems and workflow tools, REST / Microservices architectures
About the company
AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.
AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.
AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io
Job Summary
We are seeking a Senior AI Engineer to lead the design and development of AI-powered accelerators that streamline and automate complex business workflows, with a strong focus on data-migration programs. This role centers on building reliable, production-grade agentic systems and orchestration frameworks that improve speed, quality and reusability across migration and modernization initiatives. The ideal candidate combines strong hands-on engineering capability with architectural leadership and a passion for enabling teams through shared accelerators, assets, and patterns.