AI Solution Architect
Accrescent Group
Job Description
Job Description
We're seeking an AI Solution Architect with several years of production software engineering experience in Python, TypeScript, Java, or comparable stacks. The role requires hands-on experience building with LLMs and agents on at least one major platform, along with practical understanding of agentic patterns, APIs, databases, cloud platforms, integration environments, debugging, testing, and production-quality engineering.
Job Description:
Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.-Hands-on experience building with LLMs and agents on at least one major platform, such as Anthropic, Open AI, Google or Microsoft.-Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows such as orchestration, delegation and self-reflection.-Experience with APIs, databases, cloud platforms, integration surfaces or comparable deployment environments.-Strong debugging, testing and integration discipline.-Experience working in ambiguous delivery contexts with customers, users or cross functional technical teams.-Ability to balance fast prototyping with production-quality engineering.
Nice to have
Experience taking agentic or AI systems from prototype to production rollout.-Experience with agent orchestration frameworks, MCP servers or custom tool integrations.-Experience with data and retrieval pipelines, workflow automation or model deployment.-Experience with evaluation, observability, troubleshooting or release safeguards for AI systems.-A vendor certification on one of the major AI platforms (Anthropic, Open AI, Google or Microsoft).
Vacancy posted 29 days ago
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