onsite
Solution Architect - Custom Software Development, Cloud & Generative AI - accenture
AI Engineer
Lead the design and delivery of custom software solutions leveraging cloud platforms and generative AI, guiding technical teams through architecture, implementation, and integration of advanced AI-driven services.
About the role
Key Responsibilities
- Design end‑to‑end architecture for custom software projects that integrate cloud services and generative AI capabilities.
- Collaborate with product owners, data scientists, and development teams to translate business requirements into scalable technical solutions.
- Select and configure appropriate cloud platforms (AWS, Azure) and AI frameworks, ensuring performance, security, and cost‑effectiveness.
- Provide technical leadership, code reviews, and mentorship to engineering teams throughout the development lifecycle.
- Define best‑practice guidelines for AI model deployment, monitoring, and continuous improvement.
Requirements
- 5+ years of experience in solution architecture or senior software engineering, with a focus on cloud‑native applications.
- Strong expertise in AWS or Azure services, including compute, storage, networking, and serverless architectures.
- Hands‑on experience building or integrating generative AI models (e.g., LLMs, diffusion models) using Python and related ML libraries.
- Proven ability to design microservices, APIs, and event‑driven systems using modern programming languages such as Python or Node.js.
- Excellent communication skills to convey complex technical concepts to both technical and non‑technical stakeholders.
Skills
generative aiawsazurepythonmachine learning