AI Solution Architect

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 time-to-market
Drive and justify key technical decisions based on trade-offs, business priorities, and alternative approaches
Ensure architectural compliance and technical quality throughout the implementation lifecycle
Provide technical leadership, mentorship, and guidance to engineering teams
7+ years of experience in software engineering and system design
3+ years in a technical leadership or architecture role
Strong 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)
Strong understanding of APIs, microservices architecture, and system integration patterns
Experience participating in pre-sales activities, technical solutioning, workshops, or client-facing engagements
Strong communication skills and ability to work with both technical and non-technical stakeholders
English: Advanced level
PERSONAL PROFILE
Ability to make and defend strategic technical decisions
Strategic thinker with the ability to see the “big picture”
Strong ability to bridge business needs with technical solutions
High level of ownership and accountability
Adaptability in dynamic environments
Leadership through expertise and influence