
Posted 2 hours ago
Solution Architect
LuxoftSolution Architect
Requirements
8-12+ years in software engineering and architecture, Experience designing large-scale distributed systems, Expertise in Microservices and event-driven architectures, Proficiency in AWS (EC2, Lambda, EKS, S3, RDS), Experience with AI/ML stack (SageMaker, Bedrock), Knowledge of LLM-based architectures and agent-based systems, Familiarity with TOGAF or similar frameworks, Infrastructure-as-Code (Terraform, CloudFormation)
Skills
AWSAIMicroservicesPythonTerraformKubernetes
About the role
Responsibilities
- Design end-to-end architectures spanning microservices, APIs, domain platforms, and enterprise-wide ecosystems
- Translate business requirements into scalable, secure, and interoperable technical solutions
- Develop and maintain enterprise architecture roadmaps and establish governance models using TOGAF or SAFe
- Architect and optimize cloud-native and hybrid solutions using AWS services, ensuring high availability and cost optimization
- Design AI/ML infrastructure, including pipelines for LLMs, generative AI, and intelligent agent-based systems
- Implement enterprise AI governance frameworks covering responsible AI usage, data privacy, and compliance
- Establish AI observability and monitoring capabilities using tools like OpenTelemetry and Langfuse
- Define and enforce agent governance, including guardrails, auditing, and human-in-the-loop workflows
- Act as a strategic liaison across semantic, data, and ML architecture domains to ensure cohesive integration
- Mentor architects and senior engineers while acting as a trusted advisor to leadership
Requirements
- 8-12+ years of experience in software engineering and architecture roles
- Proven experience designing large-scale distributed systems using microservices and event-driven architectures
- Deep proficiency in AWS technologies (EC2, Lambda, EKS, S3, RDS, VPC, API Gateway, etc.)
- Hands-on experience with the AWS AI/ML stack, specifically Amazon SageMaker and Amazon Bedrock
- Expertise in LLM-based architectures, agent orchestration, and RAG (Retrieval-Augmented Generation)
- Strong knowledge of Infrastructure-as-Code tools such as Terraform, CloudFormation, or AWS CDK
- Familiarity with enterprise architecture frameworks like TOGAF or Domain-Driven Design (DDD)
- Experience with AI observability and lifecycle management (model validation, versioning, and scaling)
- Excellent communication and stakeholder management skills with the ability to influence senior leadership
Preferred Qualifications
- AWS Certified Solutions Architect – Professional
- AWS Specialty Certifications in Machine Learning or Security
- Experience implementing enterprise AI governance frameworks in regulated industries
- Background in multi-cloud or hybrid cloud environments
- Experience integrating data, semantic, and machine learning architectures
About the Company
Luxoft is a global leader in digital transformation, providing high-end software engineering and technology consulting services to help enterprises navigate complex digital landscapes.
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Luxoft · Hyderabad
