Sigma Software
Information Technology And Services
AISolutionArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“AI Solution Architect at Sigma Software. Skills: AI Solution Architecture, AI/ML Integration, Cloud-native Solutions, System Design. Translate business requirements into solution architecture. Design scalable AI-driven solutions”
What You'll Achieve.
Deliver high-impact technological solutions; Create scalable, secure, and production-ready systems; Establish a fresh revenue stream
Industry & Context.
Solve complex business challenges
What They're Looking For.
Must Have
7+ years of experience in software engineering and system design, 3+ years in a technical leadership or architecture role, proficiency in Python, Hands-on experience with AI/ML solutions, including LLMs and Generative AI, Experience designing and implementing AI-powered solutions such as RAG systems, AI agents, voice AI, or conversational AI applications, Hands-on experience with TensorFlow or PyTorch, Understanding of AI system design best practices, including scalability, security, and production readiness, Proven experience designing distributed and integration-heavy systems, Experience with cloud platforms such as AWS, GCP, or Azure, Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Helm), understanding of APIs, microservices architecture, and system integration patterns, Experience participating in pre-sales activities, technical solutioning, workshops, or client-facing engagements, communication skills and ability to work with both technical and non-technical stakeholders, English: Advanced level
What You'll Do.
Translate business requirements into solution architecture
Design scalable AI-driven solutions
Design and integrate AI-powered components
Participate in pre-sales activities
Define architectural principles
Balance functional and non-functional requirements
Drive and justify technical decisions
Ensure architectural compliance
Provide technical leadership
How You'll Work.
Team & Collaboration
Collaborate with global clients; Partner with PMs, architects, and engineering teams; Work with technical and non-technical stakeholders
Communication Scope
communication skills; ability to work with both technical and non-technical stakeholders
Full Job Description
We are looking for an AI Solution Architect who will be responsible for translating business requirements into scalable, robust, and efficient technical solutions. This role is part of Sigma Software’s Center of Excellence, a strategic division dedicated to delivering high-impact technological solutions across diverse industries. The team specializes in advanced architecture design, AI/ML integration, cloud-native solutions, and enterprise-grade systems. Operating as a knowledge and innovation hub, it collaborates with global clients to solve complex business challenges through cutting-edge technology and best engineering practices. The project focuses on developing AI-powered voice and conversational solutions, leveraging modern AI/LLM technologies to create scalable, secure, and production-ready systems. This initiative is part of a new strategic direction within the company, aimed at establishing a fresh revenue stream. * Translate complex business requirements into end-to-end solution architecture and technical design * Design scalable AI-driven solutions with a focus on performance, security, reliability, maintainability, and compliance * Design and integrate AI-powered components such as LLMs, voice AI, conversational AI systems, backend services, and third-party integrations into cohesive architectures * Participate in pre-sales activities, including technical discovery, solution proposals, estimations, advisory services, PoCs, and client presentations * Contribute to RFPs, technical documentation, tender responses, and architecture-related proposal materials * Partner with PMs, architects, and engineering teams to align architecture decisions with project goals, constraints, and delivery timelines * Define architectural principles, standards, governance rules, CI/CD expectations, operational guidelines, and engineering best practices for AI solutions * Balance functional and non-functional requirements, including scalability, performance, security, cost, and
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