Principal - AI Architect - Insurance

Infosys; Bellevue (WA); On-site; USD 154,000 - 193,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

Job summary

Infosys Consulting is seeking an AI Architect to lead enterprise AI, ML, and GenAI engagements. The role requires hands-on design, architecture, and cross-domain delivery across cloud-native and hybrid environments, with emphasis on governance, data pipelines, and integration with automation tools.

Candidates should have extensive experience in AI/ML, LLMs, MLOps, and cloud services, with a proven ability to translate business problems into scalable AI solutions.

Qualifications

• Experience architecting and implementing AI/ML solutions across multiple domains.
• Hands-on experience with cloud AI/ML services (Azure OpenAI, AWS Bedrock/SageMaker, Vertex AI).
• Experience translating business problems into AI solution architecture.
• Experience with ML lifecycle management, CI/CD for ML, monitoring and retraining pipelines.

Responsibilities

• Lead client engagements delivering AI and automation solutions.
• Architect end-to-end AI platforms in cloud-native and hybrid environments.
• Collaborate with cross-functional teams to deploy AI solutions at scale.
• Develop governance and risk management practices for AI systems.
• Mentor junior consultants and contribute to IP in focus areas.
• Drive delivery excellence and align with Infosys Consulting KPIs.

Skills

AI Architecture

Python

ML Modeling

Generative AI

NLP/Conversational AI

MLOps/LLMOps

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

LangChain

LlamaIndex

Semantic Kernel

RAG architectures

Job description

AI Architect, AI & Automation

About The Role

The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience:

• Experience architecting and implementing AI/ML solutions across multiple domains, including:
• Generative AI and Large Language Model (LLM) based solutions
• Predictive and prescriptive Machine Learning models
• Computer Vision
• Natural Language Processing (NLP) and Conversational AI
• Agentic AI systems and multi-agent orchestration.
• Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring.
• Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques.
• Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP).
• Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines.
• Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch.
• Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI.
• Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance.
• Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures.
• Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations.
• Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation.
• Travel to client sites and for practice work efforts is required on an as needed basis.

About The Role

The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience:

• Experience architecting and implementing AI/ML solutions across multiple domains, including:
• Generative AI and Large Language Model (LLM) based solutions
• Predictive and prescriptive Machine Learning models
• Computer Vision
• Natural Language Processing (NLP) and Conversational AI
• Intelligent Document Processing (IDP / iOCR)
• Agentic AI systems and multi-agent orchestration.
• Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring.
• Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques.
• Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP).
• Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines.
• Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch.
• Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI.
• Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance.
• Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures.
• Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations.
• Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation.
• Travel to client sites and for practice work efforts is required on an as needed basis.

Additional Consulting Responsibilities

• Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation.
• Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion.
• Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area.
• People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations.
• Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant.
• Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities.
• Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action.

Basic Qualifications

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required.
• Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer)
• Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services.
• Strategic mindset and the ability to lead and develop other team members.
• Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals.
• Excellent relationship-building abilities.
• Ability to collaborate with resources in global delivery model.
• Experience in leading programs using Agile and/or hybrid methodologies.
• 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 at this time.

Preferred Qualifications

• MBA or equivalent advanced degree, Industry-related certification preferred.
• Creative problem solver
• Strategic mindset and the ability to collaborate with other team members

For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:-

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us

Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale.

Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.