AI Analyst at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

1400000.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, LLMs, Python, API Design, System Integration, Risk Assessment, Cost Efficiency, Agentic Systems, Guardrails Development, Workflow Evaluation, Data Analysis, Problem Solving, Stakeholder Collaboration, AI Governance, Prototyping, Testing

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 400000 - Rs 1400000 (ie INR 4-14 LPA) JobType: full-time We are seeking an execution-focused AI Analyst to work at the intersection of business strategy, systems thinking, and responsible AI deployment. This role is centered on helping enterprises move beyond AI experimentation toward production-ready, outcome-driven implementations. You will evaluate existing workflows, identify opportunities for AI integration, and support the design of agentic and LLM-powered systems that create measurable business value. The position requires translating ambiguous business challenges into structured AI solutions, implementing guardrails for safe deployment, and validating systems for performance, cost efficiency, and reliability. This is a practical, impact-driven role suited for professionals who value substance over hype and are passionate about building scalable, real-world AI systems. Key Responsibilities Assess existing business workflows and identify opportunities for AI-driven transformation. Design and support deployment of agentic and large language model (LLM)-based systems. Translate complex business problems into clearly defined AI use cases, constraints, and success metrics. Develop guardrails to ensure responsible, secure, and scalable AI implementation. Validate AI systems for accuracy, reliability, performance, and cost efficiency. Collaborate with cross-functional stakeholders to align AI initiatives with business objectives. Support API design and system integrations for seamless AI workflow embedding. Utilize Python and related tools to prototype, test, and refine AI-driven solutions. Conduct risk assessments and identify inefficiencies in existing AI or automation frameworks. Enable client teams through documentation, training, and knowledge transfer to ensure long-term adoption and trust. Contribute to the development of structured frameworks for enterprise AI governance and operationalization. What Makes You a Great Fit Strong understanding of Artificial Intelligence concepts and practical enterprise applications. Hands-on experience working with Large Language Models (LLMs) and AI-driven automation systems. Proficiency in Python and familiarity with API design and system integration. Ability to convert ambiguous business requirements into structured technical AI solutions. Strong analytical and systems-thinking mindset with attention to risk, scalability, and cost efficiency. Experience evaluating AI workflows for accuracy, bias, compliance, and operational viability. Excellent communication skills with the ability to explain AI systems to non-technical stakeholders. High ownership mindset with a practical, execution-first approach. Interest in responsible AI, governance, and enterprise-grade implementation frameworks.

Responsibilities

This role focuses on moving enterprises past AI experimentation toward production-ready, outcome-driven implementations by assessing workflows and designing agentic and LLM-powered systems. Key duties include translating business challenges into structured AI solutions, implementing safety guardrails, and validating systems for performance and cost efficiency.