AI Solutions Architect role at Konstant Infosolutions in Jaipur, Rajasthan. The employer's own role page states Location: Jaipur and shows a posting date of 27 Oct 2026; it was listed as open when we checked on 1 Nov 2026.

About Konstant Infosolutions

Konstant Infosolutions is a long-running Jaipur IT services company - its careers page cites 23+ years in business, 2,500+ clients and a 150+ person team, and it is a certified Great Place to Work. The company now markets itself heavily around AI engineering work.

The role in plain terms

This is the most senior AI technical seat on the current list: designing end-to-end AI solution architectures for clients and guiding how they get built.

What the employer asks for

These duties and requirements are quoted or closely condensed from the employer's listing so the details are not distorted:

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

Skills and experience:

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

Experience required: 6+ Years.

Who this role suits

This suits an architect-level candidate (6+ years) who can move between a client's business problem and a concrete AI system design, and who enjoys pre-sales-adjacent solutioning.

Practical notes

No salary is stated on the listing.

How to apply

Apply on the company's own role page: AI Solutions Architect at Konstant Infosolutions. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. Never pay a fee to apply or interview; a genuine hiring process does not charge candidates.

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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.