Ai Algorithm Engineer Jobs in Indiana (NOW HIRING)

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, dedicated to helping clients achieve their business goals through cutting-edge technology. The AI Architect role involves architecting and implementing production-grade AI agent solutions, designing end-to-end AI systems, and ensuring scalability and compliance in AI applications.
Responsibilities:
• Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI.
• Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs.
• Review plan for smooth deployment into scalable, production-ready solutions.
• Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals.
• Build models and analytics solutions tailored to business needs.
• Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Review and refine analytics problems; identify data sources and extract from diverse environments.
• Oversee analysis execution and drive business insights.
• Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness.
• Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders.
• Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions.
• Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy.
• Review analytics outputs for adherence to quality frameworks and project commitments.
• Recommend improvements to quality metrics and guide team members to align with standards.
• Identify and recommend model changes needed for successful deployment.
• Engage in creation and refinement of IP assets such as analytics prototypes and accelerators.
• Develop insights, whitepapers, and proof-of-concept summaries that highlight innovative thinking.
• Review innovative models and applications in non-ML, ML, deep learning, or LLM areas.
• Support participation in forums and internal knowledge exchanges.
• Deliver training sessions on technical and analytics-specific topics.
• Collaborate on content creation and mentor team members through hands-on guidance in live projects.
• Provide input for segment and unit-level business plans.
Qualifications:
Required:
• Architect and implement production-grade AI agent solutions on Google Cloud Platform (GCP), with Azure as a supporting cloud environment where required.
• Design end-to-end AI systems including: Agent orchestration, Short-term memory, Long-term memory, Context management, Tool integrations, Workflow execution, Evaluation pipelines.
• Build and standardize architecture for production-ready AI agents, ensuring scalability, resilience, security, and maintainability.
• Define and implement AI Gateway patterns for model access, routing, authentication, rate limiting, and policy enforcement.
• Design and deploy guardrails for responsible AI, safety, compliance, prompt protection, hallucination mitigation, and output validation.
• Establish tracing and observability frameworks for AI applications using GCP-native monitoring capabilities and Dynatrace.
• Implement evaluation services for AI systems, including: Offline evaluation, Online evaluation, Model and agent performance benchmarking, Quality and reliability measurement.
• Define and implement architecture for memory systems, including short-term conversational memory and persistent long-term memory.
• Collaborate with engineering, data, product, security, and customer stakeholders to align AI solutions with business and technical requirements.
• Lead technical discussions with different customer stakeholders, translating business needs into scalable AI architectures.
• Drive architecture decisions under aggressive timelines while maintaining delivery quality and engineering rigor.
• Ensure AI systems adhere to enterprise standards for governance, privacy, security, compliance, and operational excellence.
• Provide technical leadership, mentorship, and architecture guidance to cross-functional teams.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience working in onshore/offshore delivery model
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.