Hiring Technical Architect

Job Description: Technical Architect - Cloud & AI Solutions Location: Hyderabad, India Employment Type: Full-Time Experience Level: Lead/Principal years) Position Overview We are seeking a visionary Technical Architect to lead the design and implementation of enterprise-scale cloud and AI solutions. This strategic role requires a seasoned professional who can architect complex systems that seamlessly integrate data migration platforms, AI/ML capabilities, and modern cloud infrastructure. You will be responsible for setting technical direction, ensuring architectural excellence, and driving innovation across our technology stack. Key Responsibilities Solution Architecture & Strategy
• Define and drive the overall technical architecture for enterprise data migration and AI platforms
• Develop comprehensive architecture blueprints, technical roadmaps, and system design documentation
• Establish architectural standards, design patterns, and best practices across the organization
• Conduct technology evaluations and make strategic build-vs-buy recommendations
• Lead proof-of-concept initiatives for emerging technologies and methodologies
• Ensure architecture alignment with business objectives and scalability requirements Cloud Architecture & Infrastructure Design
• Architect multi-region, highly available cloud solutions on AWS with disaster recovery capabilities
• Design serverless architectures leveraging Lambda, Step Functions, and event-driven patterns
• Establish cloud governance frameworks, including cost optimization and resource management
• Create reference architectures for microservices, data lakes, and AI/ML platforms
• Define hybrid cloud strategies and migration pathways for legacy systems
• Architect security frameworks, including zero-trust models, encryption strategies, and compliance controls AI/ML Platform Architecture
• Design end-to-end AI/ML platforms from data ingestion to model serving and monitoring
• Architect LLM integration strategies, including RAG (Retrieval-Augmented Generation) systems Job Description Internal and Contracted Hiring Agents' Use Only 12-Oct-25
• Define MLOps pipelines for model training, versioning, deployment, and monitoring
• Create architectural patterns for agentic AI systems and autonomous decision-making frameworks
• Design vector database architectures for semantic search and recommendation systems
• Establish responsible AI frameworks ensuring fairness, transparency, and explainability Data Architecture & Engineering
• Design enterprise data architectures supporting both operational and analytical workloads
• Define data mesh or data fabric strategies for distributed data ownership
• Architect real-time and batch data processing pipelines at petabyte scale
• Create metadata management and data governance frameworks
• Design graph database schemas for complex relationship modeling
• Establish data quality frameworks and automated validation mechanisms Technical Leadership & Governance
• Provide technical leadership and mentorship to development teams and architects
• Conduct architecture review boards and ensure adherence to architectural guidelines
• Lead technical due diligence for partnerships, acquisitions, or vendor evaluations
• Drive innovation through research, prototyping, and technology adoption
• Collaborate with product management, engineering, and business stakeholders
• Present architectural proposals and technical strategies to executive leadership DevOps & Platform Engineering
• Define DevOps strategies and platform engineering approaches for developer productivity
• Architect CI/CD platforms supporting multiple deployment models and environments
• Design observability frameworks, including logging, monitoring, alerting, and tracing
• Establish infrastructure automation standards using IaC methodologies
• Create disaster recovery and business continuity architectures
• Define SLA/SLO frameworks and implement chaos engineering practices Security Architecture
• Design comprehensive security architectures for cloud-native applications
• Establish identity and access management (IAM) frameworks
• Define encryption strategies for data at rest and in transit
• Architect compliance solutions for regulatory requirements (GDPR, HIPAA, SOC 2)
• Implement security automation and threat detection mechanisms
• Conduct security architecture reviews and threat modeling Required Qualifications Education
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related field
• MBA or executive leadership certifications are advantageous Job Description Internal and Contracted Hiring Agents' Use Only 12-Oct-25
• Industry certifications: AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA), TOGAF, or equivalent Technical Expertise Cloud & Infrastructure (Essential)
• AWS Mastery: 8+ years with deep expertise across compute, storage, networking, and security services
• Container Orchestration: Advanced Kubernetes architecture and management
• Infrastructure as Code: Expert-level Terraform, CloudFormation, or Pulumi
• Serverless Architecture: Lambda, Step Functions, EventBridge, API Gateway
• Multi-cloud Experience: AWS primary with working knowledge of Azure/GCP Programming & Development (Essential)
• Python: Advanced proficiency for automation, data processing, and ML
• JavaScript/TypeScript: Strong understanding of modern web technologies
• Data Processing: Pandas, PySpark, Apache Beam
• Multiple Languages: Proficiency in at least 3 programming languages AI/ML & Data Science (Essential)
• AI/ML Platforms: 5+ years designing and implementing production ML systems
• LLM Technologies: Deep understanding of transformer models, fine-tuning, and prompt engineering
• MLOps: End-to-end ML lifecycle management and automation
• NLP & Agentic AI: Advanced natural language processing and autonomous systems
• Vector Databases: Architecture design for Pinecone, Weaviate, Milvus, or Qdrant Data Technologies (Essential)
• Database Architecture: SQL, NoSQL, Graph, Vector, Time-series databases
• Data Warehousing: Snowflake, Redshift, BigQuery architectural patterns
• ETL/ELT: Enterprise data integration and transformation frameworks
• Streaming: Kafka, Kinesis, Flink real-time processing architectures
• Graph Databases: Neo4j, Neptune advanced modeling and optimization Architecture & Design (Essential)
• Microservices and service-oriented architecture (SOA)
• Event-driven architecture and domain-driven design (DDD)
• API design (REST, GraphQL, gRPC)
• Distributed systems and CAP theorem principles
• High availability and disaster recovery patterns
• Performance optimization and scalability engineering Professional Experience
• Minimum 12-16 years in software development and architecture roles Job Description Internal and Contracted Hiring Agents' Use Only 12-Oct-25
• At least 5 years in an architect or principal engineer position
• Proven track record of delivering enterprise-scale solutions
• Experience leading architecture for organizations with 100+ engineers
• Demonstrated success in cloud migration and modernization initiatives
• Portfolio of architected solutions deployed in production at scale Leadership & Communication
• Exceptional ability to communicate complex technical concepts to diverse audiences
• Experience presenting to C-level executives and board members
• Strong influence and negotiation skills across organizational boundaries
• Proven mentorship and team development capabilities
• Ability to build consensus and drive decision-making
• Track record of building high-performing engineering cultures Preferred Qualifications
• Experience with multiple cloud providers (AWS, Azure, GCP)
• Knowledge of edge computing and IoT architectures
• Familiarity with quantum computing or blockchain technologies
• Published thought leadership (blogs, whitepapers, conference talks)
• Patents or significant open-source contributions
• Experience in regulated industries (finance, healthcare, government)
• International or multicultural team leadership experience
• Prior startup or scale-up experience Key Success Metrics
• Successful delivery of architectural initiatives within the timeline and budget
• System availability, performance, and scalability improvements
• Cost optimization and infrastructure efficiency gains
• Developer productivity and platform adoption metrics
• Security posture enhancements and compliance achievements
• Innovation index (new technologies adopted, patents filed)
• Team satisfaction and architect talent retention