Solution Architect

Description

We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the organization—ranging from individual components to fully integrated enterprise platforms. This role requires strong expertise in AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Lead

Requirements

• Core Architecture

• 8-12+ years in software engineering and architecture roles

• Proven experience designing large-scale distributed systems

• Strong knowledge of:

• Microservices and event-driven architectures

• API management and integrations

• Enterprise integration patterns (EIPs)

• AWS Technologies

• Compute & Containers

• Amazon EC2, AWS Lambda

• Amazon ECS / EKS (Kubernetes)

• Networking & Integration

• Amazon VPC, Route 53, API Gateway

• AWS App Mesh, EventBridge, SNS, SQS

• Data & Storage

• Amazon S3, EBS, Glacier

• Amazon RDS, Aurora, DynamoDB, Redshift

• DevOps & Automation

• AWS CloudFormation / CDK / Terraform

• AWS CodePipeline, CodeBuild, CodeDeploy

• Observability

• Amazon CloudWatch, AWS X-Ray

• Security

• AWS IAM, Cognito, KMS, Secrets Manager

• AWS Organizations and Control Tower

• AI/ML, LLM & Observability Expertise

• Experience with AWS AI/ML stack:

• Amazon SageMaker

• Amazon Bedrock (LLMs & foundation models)

• AWS Glue, Lake Formation

• Hands-on experience with:

• LLM-based architectures and agent-based systems

• AI observability tools (e.g., OpenTelemetry, Langfuse, Prometheus/Grafana)

• Prompt lifecycle management and evaluation pipelines

• Strong understanding of:

• AI governance frameworks and enterprise AI controls

• Agent orchestration, monitoring, and guardrails

• Data lineage, quality, and compliance

• Architecture Frameworks & Practices

• TOGAF or equivalent enterprise architecture frameworks

• Domain-driven design (DDD)

• Cloud-native and serverless patterns

• Soft Skills

• Strong communication and stakeholder management

• Strategic thinking with hands-on technical depth

• Ability to influence senior leadership and cross-functional teams

• Mentorship and leadership capabilities

• AWS Certified Solutions Architect

• Professional

• AWS Specialty Certifications (Machine Learning, Security)

• Experience implementing enterprise AI governance frameworks

• Background in regulated industries

• Exposure to multi-cloud or hybrid environments

• Experience integrating data, semantic, and ML architectures

Responsibilities

• Architecture & Solution Design

• Design end-to-end architectures spanning:

• Component-level services (microservices, APIs)

• Domain platforms

• Enterprise-wide ecosystems

• Define architecture patterns, standards, and reusable frameworks

• Translate business requirements into scalable and secure technical solutions

• Ensure interoperability across systems, data layers, AI services, and platforms

• Enterprise Architecture Strategy

• Develop and maintain enterprise architecture roadmaps

• Align IT strategy with business goals and digital transformation initiatives

• Establish governance models (TOGAF/SAFe or similar)

• Lead architecture review boards and technical decision-making processes

• Cloud Architecture (AWS)

• Architect and optimize cloud-native and hybrid solutions using AWS services

• Define cloud migration strategies and modernization approaches

• Ensure high availability, resiliency, cost optimization, and performance

• Implement Infrastructure-as-Code and automation best practices

• AI, Data & Intelligent Systems Architecture

• Design AI/ML infrastructure, pipelines, and enterprise integration patterns

• Architect solutions incorporating LLMs, generative AI, and intelligent agents

• Guide adoption of AI technologies within enterprise platforms and products

• Establish patterns for:

• RAG (Retrieval-Augmented Generation)

• Feature stores and data pipelines

• Model deployment, versioning, and scaling

• AI Governance, Observability & Control

• Define and implement enterprise AI governance frameworks covering:

• Responsible AI usage (fairness, bias mitigation, explainability)

• Data privacy, lineage, and compliance

• AI risk classification and policy enforcement

• Establish AI observability and monitoring capabilities, including:

• End-to-end tracing of AI/ML and LLM flows using tools such as OpenTelemetry

• Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equivalent

• Metrics for model performance, drift, hallucination rates, and usage patterns

• Design and enforce agent governance and control mechanisms, including:

• Monitoring and auditing of autonomous and semi-autonomous AI agents

• Guardrails for agent behavior, tool usage, and decision boundaries

• Human-in-the-loop (HITL) workflows and escalation patterns

• Policy-based control over agent actions and integrations

• Implement AI lifecycle governance, including:

• Model validation, approval workflows, and audit trails

• Continuous evaluation and feedback loops

• Secure model and prompt management

• Cross-Disciplinary Architecture Leadership

• Act as a strategic liaison across Semantic, Data, and ML architecture domains

• Facilitate alignment between knowledge graphs, ontologies, data platforms, and ML systems

• Provide architectural guidance to specialized architects, ensuring cohesive enterprise integration

• Bridge gaps between business semantics, data engineering, and machine learning pipelines

• Security, Compliance & Governance

• Ensure architectures meet enterprise security standards (e.g., Zero Trust)

• Define policies for data governance, access control, and auditability

• Align AI and cloud solutions with regulatory and compliance frameworks

• Collaboration & Leadership

• Work with engineering, product, data, and AI teams to align solutions

• Mentor architects and senior engineers

• Act as a trusted advisor to leadership and stakeholders