Senior Developer Agentic AI at S&P Global

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial ServicesIndustries

Requirements

7-12 years of progressive experience in AI/ML, with a strong track record as an AI Architect, ML Architect, or AI Solutions Lead
2+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines) or ML workflows
Expertise in Python (mandatory)
Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks
Proficiency in cloud platforms for AI architecture: AWS services (redis, lambda, eks, postgres etc.), Google Cloud Vertex AI, visual studio or any other IDE with a deep understanding of their AI service offerings
Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments

Responsibilities

Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS preferable) for scalable AI deployments
Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles
Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability
Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities
Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems
Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization

Skills

Key technologies and capabilities for this role

Agentic AIMulti-agent frameworksLLM fine-tuningAWSAutogenAutoGPTLangChainNeuro-symbolic architecturesAI deploymentArchitectural designStress testingBias mitigation

Questions & Answers

Common questions about this position

What experience level is required for this Senior Developer Agentic AI role?

The role requires 7-12 years of progressive experience in AI/ML, including a strong track record as an AI Architect, ML Architect, or AI Solutions Lead, plus 2+ years focused on designing and architecting autonomous/agentic AI systems.

What technical skills and tools are mandatory for this position?

Expertise in Python is mandatory, along with extensive hands-on experience with autonomous AI tools like LangChain, Autogen, CrewAI, or custom agentic frameworks, proficiency in cloud platforms such as AWS services (redis, lambda, eks, postgres), and experience with MLOps pipelines like Kubeflow or MLflow.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or what is the work location policy?

This information is not specified in the job description.

What does the company culture or team environment look like?

The company has more than 35,000 people worldwide, with a mission of Advancing Essential Intelligence.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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