Solution Architect

Luxoft; India; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

Luxoft is seeking an experienced Solution Architect to lead design and governance of scalable capital markets analytics platforms. You will drive end-to-end architectures across microservices, AI/ML pipelines, and cloud-native patterns on AWS, ensuring security, compliance, and responsible AI.

The role requires strong client-server and cloud expertise, with hands-on senior leadership to mentor teams and align technology with business strategy.

Qualifications

• 8-12+ years in software engineering and architecture roles.
• Experience designing large-scale distributed systems.
• Knowledge of .NET and/or Python.
• Extensive AWS experience (EC2, Lambda, RDS, DynamoDB, S3).
• Proficient in microservices, APIs, and event-driven patterns.
• Solid AI/ML and LLM familiarity, including governance.
• Strong communication, leadership, and stakeholder management.

Responsibilities

• Architecture & Solution Design across capital markets platforms.
• Define patterns, standards, and reusable frameworks.
• Translate business needs into scalable, secure solutions.
• Design cloud-native/hybrid AWS architectures and migrations.
• Implement IaC and automation practices.
• Design AI/ML infra, pipelines, and enterprise integration.
• Govern AI lifecycles, observability, and guardrails.
• Collaborate across Semantic, Data, and ML domains.
• Mentor architects and lead cross-functional teams.
• Ensure security, governance, and regulatory alignment.

Skills

Core Architecture

8-12+ years in software engineering

Large-scale distributed systems

.NET and/or Python

Microservices

API management

AWS Technologies

EC2, Lambda

ECS / EKS

VPC, Route 53

S3, DynamoDB

CloudFormation / Terraform

CodePipeline / CodeBuild

Observability (OpenTelemetry)

IAM, Secrets Manager

SageMaker / Bedrock

LLM architectures

AI governance frameworks

TOGAF / DDD

Cloud-native/serverless

Data lineage & compliance

Communication & leadership

Tools

Prometheus/Grafana

Langfuse

OpenTelemetry

Job description

Project description

We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the Capital Markets analytics platforms.This role requires strong expertise in traditional client-server architecture, AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies.

Responsibilities

• Architecture & Solution Design
• Design end-to-end solution architectures spanning:o Component-level services (microservices, APIs)o Domain platforms
• 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 platformsCloud 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 practicesAI, 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:o RAG (Retrieval-Augmented Generation)o Feature stores and data pipelineso Model deployment, versioning, and scalingAI Governance, Observability & Control
• Define and implement enterprise AI governance frameworks covering:o Responsible AI usage (fairness, bias mitigation, explainability)o Data privacy, lineage, and complianceo AI risk classification and policy enforcement
• Establish AI observability and monitoring capabilities, including:o End-to-end tracing of AI/ML and LLM flows using tools such as OpenTelemetryo Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equivalento Metrics for model performance, drift, hallucination rates, and usage patterns
• Design and enforce agent governance and control mechanisms, including:o Monitoring and auditing of autonomous and semi-autonomous AI agentso Guardrails for agent behavior, tool usage, and decision boundarieso Human-in-the-loop (HITL) workflows and escalation patternso Policy-based control over agent actions and integrations
• Implement AI lifecycle governance, including:o Model validation, approval workflows, and audit trailso Continuous evaluation and feedback loopso Secure model and prompt managementCross-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 pipelinesSecurity, 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 frameworksCollaboration & 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

SKILLS

Must have

• Core Architecture
• 8-12+ years in software engineering and architecture roles
• Proven experience designing large-scale distributed systems
• Knowledge of .NET and/or Python
• Strong knowledge of:o Microservices and event-driven architectureso API management and integrationsAWS TechnologiesCompute & Containers
• Amazon EC2, AWS Lambda
• Amazon ECS / EKS (Kubernetes)Networking & Integration
• Amazon VPC, Route 53, API Gateway
• AWS App Mesh, EventBridge, SNS, SQSData & Storage
• Amazon S3, EBS, Glacier
• Amazon RDS, Aurora, DynamoDB, RedshiftDevOps & Automation
• AWS CloudFormation / CDK / Terraform
• AWS CodePipeline, CodeBuild, CodeDeployObservability
• Amazon CloudWatch, AWS X-RaySecurity
• AWS IAM, Cognito, KMS, Secrets ManagerAWS Organizations and Control Tower
• AI/ML, LLM & Observability Expertise
• Experience with AWS AI/ML stack:o Amazon SageMakero Amazon Bedrock (LLMs & foundation models)o AWS Glue, Lake Formation
• Hands-on experience with:o LLM-based architectures and agent-based systemso AI observability tools (e.g., OpenTelemetry, Langfuse, Prometheus/Grafana)o Prompt lifecycle management and evaluation pipelines
• Strong understanding of:o AI governance frameworks and enterprise AI controlso Agent orchestration, monitoring, and guardrailso Data lineage, quality, and complianceArchitecture Frameworks & Practices
• TOGAF or equivalent enterprise architecture frameworks
• Domain-driven design (DDD)
• Cloud-native and serverless patterns
• Experience integrating data, semantic, and ML architecturesSoft 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

Nice to have

• AWS Certified Solutions Architect - Professional
• AWS Specialty Certifications (Machine Learning, Security)
• Experience implementing AI governance frameworks
• Background in regulated industries
• Exposure to multi-cloud or hybrid environments