Solutions Architect/ Application architect or Enterprise architect

At least fifteen (15) years of experience in the IT field with extensive experience in positions of technical developer/lead, software engineer, application architect, or enterprise architect.

At least ten (10) years of experience incorporating an industry’’s open & non-proprietary SDLC methodology to lead and manage various technical aspects of solution/software implementation projects, collaborating with IT divisions and business stakeholders.

At least seven (7) years of experience architecting, designing, and implementing AI/ML use cases or GenAI solutions.

At least five (5) years of experience leading cloud architecture (AWS, Azure, Google Cloud Platform) for large or complex environments (multi-tier apps, enterprise integrations, or migrations), with proven delivery of end-to-end cloud solutions.

At least three (3) years of experience designing high availability and fault-tolerant systems, and cost optimization strategies on SaaS, PaaS, and IaaS.

At least two (2) years of experience working with AI infrastructure and agentic workflows/orchestration, Generative AI design patterns, cloud strategy and FinOps, hybrid and multi-cloud systems, and security and compliance (AI Governance).

At least two (2) years of experience designing Microservices, distributed systems, event-driven and API-based architecture.

Desirable Qualifications:

Technical certifications: Snowflake SnowPro Advanced - Architect; AWS Solutions Architect - Professional; and/or Azure Solutions Architect Expert.

At least two (2) years of experience providing IT consulting services in technical solution implementations to large public/governmental agencies.

Experience supervising and guiding implementation using industry standards and best practices: PMI PMBOK, Scaled Agile Framework (SAFe), IEEE, or equivalent.

Bachelor’’s degree in computer science, computer engineering, or a related field from an accredited or government-sanctioned college/university.