Grade 12 – Software Development Senior Specialist Advisor Role Description: We are seeking a highly experienced and strategic technology leader with 15+ years of experience in cloud engineering and enterprise architecture to lead AWS Process-to-Agent(P2A) transformations and Agentic AI solution deployments. This role will be responsible for end-to-end ownership of AWS cloud deployment deliverables, including architecture governance, execution oversight, solution assurance, operational readiness, and stakeholder communication. The candidate must bring deep real-time experience in large-scale AWS deployments, along with hands-on expertise in AI/GenAI and Agentic AI systems. This is a leadership role requiring strong communication skills, delivery ownership, architectural authority, and executive-level stakeholder engagement. Role Responsibilities:  AWS P2A Deployment Leadership o Lead end-to-end AWS Process-to-Agent (P2A) transformation programs. o Own overall AWS deployment strategy, execution governance, and delivery assurance. o Define cloud architecture blueprints, standards, and reference frameworks. o Oversee environment setup, landing zones, networking, IAM, security, and compliance controls. o Ensure seamless integration between platform, applications, data, and AI components. o Drive migration, modernization, and cloud-native transformation initiatives. o Review and approve solution architectures before deployment. o Ensure high availability, resilience, scalability, and cost optimization across deployments. o Establish DevSecOps and CI/CD best practices across teams. o Oversee release management, production rollout, and hypercare stabilization.  Agentic AI & Advanced AI Solution Deployment o Lead deployment of Agentic AI solutions on AWS infrastructure. o Architect and oversee implementation of: o Multi-agent systems o RAG-based architectures o Autonomous reasoning and orchestration workflows o LLM-powered enterprise solutions o Ensure secure and scalable deployment of AI models using AWS Bedrock / SageMaker / EKS. o Oversee vector database integration and AI memory systems. o Implement AI observability, guardrails, monitoring, and governance frameworks. o Ensure responsible AI practices, data privacy, and regulatory compliance. o Drive performance optimization and production hardening of AI workloads.  Delivery & Governance Oversight o Own overall AWS deployment deliverables across programs. o Provide technical leadership to architects, DevOps, AI engineers, and platform teams. o Establish deployment governance, risk management, and quality checkpoints. o Conduct architecture reviews and technical audits. o Ensure SLA, SLO, and performance commitments are met. o Drive proactive issue resolution and risk mitigation. o Present deployment status and risk assessments to senior leadership and clients.  Stakeholder & Communication Management o Engage with client executives, CTOs, and business leaders. o Translate business objectives into cloud and AI deployment strategies. o Lead design workshops and executive architecture discussions. o Provide clear communication of technical roadmaps, risks, and deployment milestones. o Mentor senior architects and delivery leaders. Mandatory Technical Skills: AWS (Deep Real-Time Deployment Experience Required) o 8+ years of hands-on AWS experience in enterprise environments. o Proven experience leading large-scale AWS production deployments. o Strong expertise in:  EC2, S3, RDS, Aurora, DynamoDB  VPC, Transit Gateway, Direct Connect, Route 53  IAM, KMS, Security Hub, GuardDuty  Lambda, API Gateway  EKS / ECS / Kubernetes  CloudWatch, CloudTrail o Strong experience designing AWS Landing Zones. o Infrastructure as Code: Terraform / CloudFormation / CDK. o CI/CD pipelines and DevSecOps frameworks. o Experience in high-availability and disaster recovery architectures. o Cost optimization and FinOps governance. AI / Agentic AI / GenAI o Hands-on experience deploying LLM-based enterprise solutions. o Experience in Agentic AI architectures (planning agents, reasoning agents, tool usage). o Implementation of:  RAG frameworks  Multi-agent orchestration  Vector databases (FAISS, Pinecone, OpenSearch, pgvector) o Experience with AWS Bedrock / SageMaker for model hosting. o Understanding of embeddings, prompt engineering, and AI evaluation. o Production deployment of AI systems with monitoring and guardrails. Desired Skills o Experience managing global cloud transformation programs o Exposure to hybrid and multi-cloud environments. o Experience with enterprise security and compliance (ISO, SOC2, HIPAA, GDPR). o Experience with Data Engineering pipelines on AWS. o Knowledge of Knowledge Graphs and advanced AI orchestration frameworks. o Prior experience in consulting or client-facing leadership roles. Leadership & Behavioral Traits Strategic Leadership o Ability to define cloud and AI transformation roadmaps. o Strong decision-making capability under ambiguity. o Architecture-first mindset with delivery discipline. Ownership & Accountability o End-to-end accountability for AWS deployment outcomes. o Drives quality, resilience, and operational excellence. o Strong risk identification and mitigation capabilities. Communication Excellence o Excellent verbal and written communication skills. o Ability to present to CXO-level stakeholders. o Clear articulation of complex cloud and AI concepts. o Strong stakeholder management and influencing skills. Execution Focus o Strong governance mindset. o Ability to manage multiple concurrent deployments. o Focus on timelines, quality, and measurable outcomes. Experience requirement: o 15+ years of overall IT experience. o 8+ years of AWS architecture and deployment experience. o 3+ years of hands-on experience in AI/GenAI deployments. o Proven track record of leading enterprise-scale AWS production rollouts. Educational Qualification o Bachelor’s or Master’s degree in Computer Science, Engineering, or related field and minimum 12 to 15 years of relevant experience. o Mandatory: AWS Solutions Architect (Professional preferred). o Preferred: AWS DevOps Engineer / AWS ML Specialty. o Additional AI/Cloud certifications are an advantage.