Job Summary

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 robust 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:

- Component-level services (microservices, APIs)

- 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

- 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

Skills Must have

- Microservices and event-driven architectures

- API management and integrations

- AWS Technologies

- Compute Containers

- Data Storage

- DevOps Automation

- Observability

- Security

- AWS CloudFormation / CDK / Terraform

📌 Solution Architect (Gurugram)
🏢 Luxoft India
📍 Gurugram