AI Solutions Architect

Konstant Infosolutions Pvt. Ltd.; Jaipur; Vor Ort; INR 1.200.000 - 2.100.000; Vollzeit

Zusammenfassung

Konstantinfo in India is seeking an AI Solutions Architect to design secure, scalable AI systems that align with business goals. You will own end-to-end architecture across AI models, data platforms, cloud infrastructure, and governance, guiding integration with enterprise applications.

The role requires deep expertise in LLMs, RAG, vector stores, and distributed systems, plus hands-on experience with AWS/GCP/Azure and containerized deployments. Collaboration with clients and teams is essential.

Qualifikationen

• Define end-to-end AI/ML architecture for GenAI, RAG, and agentic AI solutions.
• Select models, frameworks, cloud services, databases, and deployment patterns.
• Design secure, scalable integration architectures across enterprise systems and data sources.
• Establish standards for LLMOps, MLOps, model serving, monitoring, governance and responsible AI.
• Define security controls including IAM, encryption, data privacy, auditability.

Aufgaben

• Create reference architectures, roadmaps, diagrams, and integration specs.
• Evaluate feasibility, cost, latency, reliability, scalability, and risk before implementation.
• Collaborate with engineering, data, product, security, and clients to align tech with goals.
• Review solution designs for adherence to defined standards.
• Guide teams on architecture decisions and enterprise integration.

Kenntnisse

AI/ML design

Cloud architecture

APIs

Security governance

Ausbildung

Cloud certifications (AWS, GCP, Azure)

Tools

Docker

Kubernetes

Terraform

LangChain

LangGraph

LangSmith

MLflow

Kafka

RabbitMQ

NoSQL

Vector databases

SQL

Python

FastAPI

AWS

GCP

Azure

Jobbeschreibung

We’re looking for a AI Solutions Architect

Observability Platforms IAM NoSQL Kafka Terraform RAG LLM APIs LangGraph LangSmith MLflow GCP Kubernetes Vector Databases LangChain FastAPI RabbitMQ Docker Azure AWS SQL Python

Job Description:

We are hiring an AI Solutions Architect to design secure, scalable, and enterprise-ready AI systems that align technical implementation with business objectives. This role owns end-to-end architecture across AI models, data platforms, cloud infrastructure, security, integrations, governance, and operational reliability. AI architects define the blueprint for AI solutions, including model selection, cloud strategy, responsible AI controls, and integration with enterprise applications.

Requirements and Duties:

• Define end-to-end architecture for AI, ML, Generative AI, RAG, and agentic AI solutions.
• Select suitable models, frameworks, cloud services, databases, orchestration tools, and deployment patterns.
• Design scalable and secure integration architectures across enterprise systems, APIs, data sources, and business workflows.
• Establish architecture standards for LLMOps, MLOps, model serving, monitoring, data governance, and responsible AI.
• Define security controls for AI systems, including identity and access management, encryption, data privacy, prompt injection protection, and auditability.
• Create reference architectures, technical roadmaps, architecture diagrams, integration specifications, and technology recommendations.
• Evaluate technology feasibility, cost, latency, reliability, scalability, and operational risk before implementation.
• Work closely with engineering, data, product, security, and client stakeholders to align architecture with business goals.
• Review solution designs and technical implementations to ensure compliance with defined standards.
• Guide teams on architecture decisions, technical trade-offs, enterprise integration, and AI governance.

Skill and Ability:

• 6+ years of experience in software engineering, cloud engineering, solution architecture, AI/ML engineering, or related roles.
• 2+ years of experience designing AI, ML, GenAI, RAG, or LLM-powered production solutions.
• Strong understanding of cloud architecture across AWS, GCP, or Azure.
• Experience designing distributed systems, APIs, microservices, data pipelines, event-driven systems, databases, queues, and caching layers.
• Hands-on understanding of LLMs, RAG, embeddings, vector databases, model deployment, and agentic AI patterns.
• Strong knowledge of enterprise integration, data security, governance, scalability, observability, and high-availability principles.
• Ability to communicate architecture decisions clearly to business stakeholders, clients, and engineering teams.
• Experience producing solution architecture documents, technical proposals, diagrams, and implementation roadmaps.
• Cloud architecture certifications in AWS, GCP, or Azure.
• Experience with Docker, Kubernetes, Terraform, and infrastructure-as-code practices.
• Knowledge of AI safety, responsible AI, model governance, privacy, and compliance requirements.
• Experience leading client workshops, technical discovery sessions, or architecture reviews.

Current Openings

We consider each team member as a part of our family. Our work culture is rooted in transparency, meaningful collaboration, and inclusivity. Explore career opportunities and find the role that fits your skills.

Be a part of the most happening team around!

We are hunting expert web and app developers, ingenious graphic designers and solution-oriented project managers to work with us on the various challenging and innovative projects of our clients. If you are ready to become a part of our brainy, tech-savvy team, get in touch with us now.

We'll schedule a call to discuss your idea. After discovery sessions, we'll send a proposal, and upon approval, we'll get started.