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Software Development Director

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NTT DATA

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Software Development Director role requires a strategic technology leader with over 15 years of experience in cloud engineering and enterprise architecture. The candidate will lead AWS Process-to-Agent transformations and AI solution deployments, ensuring high availability and compliance. Strong communication and leadership skills are essential for engaging with stakeholders and driving project success.

Job Responsibility:

  • Lead end-to-end AWS Process-to-Agent (P2A) transformation programs
  • Own overall AWS deployment strategy, execution governance, and delivery assurance
  • Define cloud architecture blueprints, standards, and reference frameworks
  • Oversee environment setup, landing zones, networking, IAM, security, and compliance controls
  • Ensure seamless integration between platform, applications, data, and AI components
  • Drive migration, modernization, and cloud-native transformation initiatives
  • Review and approve solution architectures before deployment
  • Ensure high availability, resilience, scalability, and cost optimization across deployments
  • Establish DevSecOps and CI/CD best practices across teams
  • Oversee release management, production rollout, and hypercare stabilization
  • Lead deployment of Agentic AI solutions on AWS infrastructure
  • Architect and oversee implementation of Multi-agent systems, RAG-based architectures, Autonomous reasoning and orchestration workflows, LLM-powered enterprise solutions
  • Ensure secure and scalable deployment of AI models using AWS Bedrock / SageMaker / EKS
  • Oversee vector database integration and AI memory systems
  • Implement AI observability, guardrails, monitoring, and governance frameworks
  • Ensure responsible AI practices, data privacy, and regulatory compliance
  • Drive performance optimization and production hardening of AI workloads
  • Own overall AWS deployment deliverables across programs
  • Provide technical leadership to architects, DevOps, AI engineers, and platform teams
  • Establish deployment governance, risk management, and quality checkpoints
  • Conduct architecture reviews and technical audits
  • Ensure SLA, SLO, and performance commitments are met
  • Drive proactive issue resolution and risk mitigation
  • Present deployment status and risk assessments to senior leadership and clients
  • Engage with client executives, CTOs, and business leaders
  • Translate business objectives into cloud and AI deployment strategies
  • Lead design workshops and executive architecture discussions
  • Provide clear communication of technical roadmaps, risks, and deployment milestones
  • Mentor senior architects and delivery leaders

Requirements:

  • 15+ years of overall IT experience
  • 8+ years of AWS architecture and deployment experience
  • 3+ years of hands-on experience in AI/GenAI deployments
  • Proven track record of leading enterprise-scale AWS production rollouts
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field and minimum 12 to 15 years of relevant experience
  • AWS Solutions Architect (Professional preferred)
  • AWS DevOps Engineer / AWS ML Specialty (Preferred)
  • Additional AI/Cloud certifications are an advantage
  • 8+ years of hands-on AWS experience in enterprise environments
  • Proven experience leading large-scale AWS production deployments
  • 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
  • Strong experience designing AWS Landing Zones
  • Infrastructure as Code: Terraform / CloudFormation / CDK
  • CI/CD pipelines and DevSecOps frameworks
  • Experience in high-availability and disaster recovery architectures
  • Cost optimization and FinOps governance
  • Hands-on experience deploying LLM-based enterprise solutions
  • Experience in Agentic AI architectures (planning agents, reasoning agents, tool usage)
  • Implementation of RAG frameworks, Multi-agent orchestration, Vector databases (FAISS, Pinecone, OpenSearch, pgvector)
  • Experience with AWS Bedrock / SageMaker for model hosting
  • Understanding of embeddings, prompt engineering, and AI evaluation
  • Production deployment of AI systems with monitoring and guardrails
  • Ability to define cloud and AI transformation roadmaps
  • Strong decision-making capability under ambiguity
  • Architecture-first mindset with delivery discipline
  • End-to-end accountability for AWS deployment outcomes
  • Drives quality, resilience, and operational excellence
  • Strong risk identification and mitigation capabilities
  • Excellent verbal and written communication skills
  • Ability to present to CXO-level stakeholders
  • Clear articulation of complex cloud and AI concepts
  • Strong stakeholder management and influencing skills
  • Strong governance mindset
  • Ability to manage multiple concurrent deployments
  • Focus on timelines, quality, and measurable outcomes

Nice to have:

  • Experience managing global cloud transformation programs
  • Exposure to hybrid and multi-cloud environments
  • Experience with enterprise security and compliance (ISO, SOC2, HIPAA, GDPR)
  • Experience with Data Engineering pipelines on AWS
  • Knowledge of Knowledge Graphs and advanced AI orchestration frameworks
  • Prior experience in consulting or client-facing leadership roles

Additional Information:

Job Posted:
March 19, 2026

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