Solutions Architect

Luxoft India; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Luxoft India seeks a highly experienced Solution Architect to design, guide, and govern scalable software solutions across Capital Markets analytics platforms. The role emphasizes AWS cloud technologies, AI governance, and enterprise integration of AI services.

You will lead architecture across semantic, data, and ML domains, ensuring secure, interoperable, and compliant implementations with HITL workflows and policy-based control.

Qualifications

• 8-12+ years in software engineering and architecture roles
• Proficiency in .NET and/or Python
• Strong knowledge of microservices and event-driven architectures
• Experience with API management and integrations
• Hands-on with AWS technologies and cloud-native / hybrid architectures
• Familiarity with compute, containers, networking, and data storage on AWS

Responsibilities

• Design end-to-end solution architectures spanning 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 platforms
• 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
• 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
• RAG (Retrieval-Augmented Generation)
• Feature stores and data pipelines
• Model deployment, versioning, and scaling

Skills

AWS

ML

Microservices

API management

Compute & Containers

Networking & Integration

Data & Storage

Python

.NET

Education

Bachelor's degree in Computer Science or related field

Tools

AWS EC2

AWS Lambda

Amazon VPC

Route 53

API Gateway

RDS

DynamoDB

Redshift

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

• Design end-to-end solution architectures spanning:
• 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 platforms
• 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
• 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
• 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:
• 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
• 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

Mandatory Skills

• AWS
• ML

Mandatory Skills Description

• Core Architecture
• 8-12+ years in software engineering and architecture roles
• Knowledge of .NET and/or Python
• Strong knowledge of:
• Microservices and event-driven architectures
• API management and integrations
• AWS Technologies
• Compute & Containers
• Amazon EC2, AWS Lambda
• Networking & Integration
• Amazon VPC, Route 53, API Gateway
• Data & Storage
• Amazon RDS, Aurora, DynamoDB, Redshift