Senior AI Solutions Engineer

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields
• Demonstrated experience in leading AI projects with hands-on coding and software engineering experience
• Proficiency in programming languages like Python, Java, or C++
• Experience with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deploying solutions on cloud platforms (AWS, Azure, or Google Cloud)
• Solid understanding of AI agent design and experience integrating advanced AI/ML technologies
• Strong analytical, problem-solving, and communication abilities
• Work effectively in a collaborative cross-functional team environment
• Technical proficiency with GenAI algorithms and Agentic tools
• Ability to translate business challenges into technical solutions
• Flexible and agile in adapting to evolving requirements and technologies
• Effective communication skills to explain complex technical concepts to non-technical audiences

Benefits

• Expected compensation ranges from $106,400 to $178,100 based on location, skills, experience, and education
• Performance-based bonus eligibility with a target payout of 12% of annual salary
• Paid time off policies, including parental leave, vacation, sick leave, and bereavement time
• A comprehensive benefits package including Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Programs, Insurance, and a Defined Contribution Retirement Plan

Responsibilities

• You will collaborate closely with transformation teams, business stakeholders, and AI platform experts to develop scalable AI solutions that can seamlessly interact across domains
• AI Development (40%):
• Design, prototype, and deploy domain-specific AI agents that engage, gather information, generate insights, and perform actionable tasks
• Write and optimize high-performance code for AI models
• Create a dynamic Generative AI roadmap and lead the development of solutions leveraging Gen-AI and Agentic AI capabilities
• Collaboration with Teams (20%):
• Work with transformation teams and business stakeholders to identify needs and tailor AI agents for specific domains
• Partner with AI platform teams to build robust cross-domain AI agents with full end-to-end observability
• Integration & Deployment (20%):
• Lead AI projects through hands-on coding and robust software engineering practices
• Ensure AI agents are deployed, monitored, and optimized for performance and availability on cloud infrastructure
• Continuous Learning (20%):
• Stay abreast of the latest AI and machine learning advancements to continuously enhance current solutions
• Conduct thorough testing and validation of AI agents to guarantee reliability and accuracy
• Autonomy and Supervision
• Decision-Making Autonomy: Moderate to significant autonomy in technical aspects of AI model development under strategic guidance from the Senior AI Solutions Manager
• Supervision Required: Moderate supervision with regular updates to the Senior AI Solutions Manager for alignment
• Complexity of Role: High complexity managing AI/ML projects, large datasets, and ensuring successful system integration and scalability
• Cross-Functional Interactions: Engage regularly with Data Science, Engineering, IT, digital products, and business stakeholders to ensure effective AI solution implementation

Full Description

Overview

We are looking for a passionate AI Engineer with a focus on AI Agents to join our team.

In this role, you will be at the forefront of our transformation initiatives, crafting and refining domain-specific AI agents that deliver actionable insights and intelligent solutions.

You will collaborate closely with transformation teams, business stakeholders, and AI platform experts to develop scalable AI solutions that can seamlessly interact across domains.

Responsibilities

• AI Development (40%):

• Design, prototype, and deploy domain-specific AI agents that engage, gather information, generate insights, and perform actionable tasks.

• Write and optimize high-performance code for AI models.

• Create a dynamic Generative AI roadmap and lead the development of solutions leveraging Gen-AI and Agentic AI capabilities.

• Collaboration with Teams (20%):

• Work with transformation teams and business stakeholders to identify needs and tailor AI agents for specific domains.

• Partner with AI platform teams to build robust cross-domain AI agents with full end-to-end observability.

• Integration & Deployment (20%):

• Lead AI projects through hands-on coding and robust software engineering practices.

• Ensure AI agents are deployed, monitored, and optimized for performance and availability on cloud infrastructure.

• Continuous Learning (20%):

• Stay abreast of the latest AI and machine learning advancements to continuously enhance current solutions.

• Conduct thorough testing and validation of AI agents to guarantee reliability and accuracy.

Autonomy and Supervision

• Decision-Making Autonomy: Moderate to significant autonomy in technical aspects of AI model development under strategic guidance from the Senior AI Solutions Manager.

• Supervision Required: Moderate supervision with regular updates to the Senior AI Solutions Manager for alignment.

• Complexity of Role: High complexity managing AI/ML projects, large datasets, and ensuring successful system integration and scalability.

• Cross-Functional Interactions: Engage regularly with Data Science, Engineering, IT, digital products, and business stakeholders to ensure effective AI solution implementation.

Compensation and Benefits:

• Expected compensation ranges from $106,400 to $178,100 based on location, skills, experience, and education.

• Performance-based bonus eligibility with a target payout of 12% of annual salary.

• Paid time off policies, including parental leave, vacation, sick leave, and bereavement time.

• A comprehensive benefits package including Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Programs, Insurance, and a Defined Contribution Retirement Plan.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.

• Demonstrated experience in leading AI projects with hands-on coding and software engineering experience.

Required Expertise:

• Proficiency in programming languages like Python, Java, or C++.

• Experience with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deploying solutions on cloud platforms (AWS, Azure, or Google Cloud).

• Solid understanding of AI agent design and experience integrating advanced AI/ML technologies.

• Strong analytical, problem-solving, and communication abilities.

• Work effectively in a collaborative cross-functional team environment.

• Technical proficiency with GenAI algorithms and Agentic tools.

• Ability to translate business challenges into technical solutions.

• Flexible and agile in adapting to evolving requirements and technologies.

• Effective communication skills to explain complex technical concepts to non-technical audiences.

We value diverse backgrounds and experiences and invite all qualified applicants to apply.

Your unique contributions will help shape the future of our AI initiatives.