7 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include designing and implementing end-to-end Generative AI solutions for business applications, collaborating with stakeholders to translate business needs into scalable AI architectures, and evaluating and integrating large language models, retrieval-augmented generation frameworks, AI agents, and multimodal AI models into enterprise workflows. Ensuring solutions adhere to security, compliance, and ethical AI best practices is essential, as is optimizing AI models for performance, cost, and scalability in production environments. Providing technical leadership and mentorship to engineering teams, staying updated on emerging Generative AI trends, tools, and frameworks, and driving innovation through prototyping new use cases and developing in-house platforms are also key responsibilities. Additionally, leading the architecture design for complex AI-driven enterprise solutions, guiding and mentoring engineering teams, and owning the architecture for client deployments on cloud platforms are included. Collaborating closely with clients and internal stakeholders to align technical solutions with strategic objectives, contributing to the technology roadmap, and governing cloud infrastructure spending while enforcing best practices for infrastructure as code are also part of the role.
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The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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