Sigmasoftware2
AI Solution Architect
Salary
Job description
- Design scalable AI-driven solutions, ensuring performance, reliability, and maintainability
- Integrate multiple components (AI/ML, backend systems, third-party services) into a cohesive architecture
- Provide technical estimation, advisory services, PoCs, and support during pre-sale activities
- Collaborate with stakeholders to elicit and clarify product and technical requirements
- Partner with PMs to align architecture with project goals and constraints
- Translate complex business requirements into scalable and compliant technical architectures
- Define architectural standards, best practices, reference models, governance rules, CI/CD expectations, and operational guidelines
- Analyze existing client infrastructure and align new solutions accordingly
- Balance functional and non-functional requirements (performance, security, cost, scalability)
- Drive and justify key technical decisions based on trade-offs and alternatives
- 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 / Generative AI)
- Proven experience designing distributed systems and integration-heavy solutions
- Experience with cloud platforms (AWS, GCP, or Azure)
- Hands-on experience with containerization and orchestration: Docker, Kubernetes, Helm
- Strong understanding of APIs, microservices, and system integration patterns
- Proven track record in consulting, pre-sales, and client-facing activities
- Strong communication skills and ability to work with both technical and non-technical stakeholders
- Advanced level of English
WILL BE A PLUS
- Experience with LLM-based solutions (RAG, AI agents)
- Hands-on experience with TensorFlow or PyTorch
- Background in Data Engineering or Big Data
- Cloud certifications
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


