Ai Solutions Engineer Jobs in Springfield, MA (NOW HIRING)

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Position Overview

We are seeking a highly motivated, visionary and technically accomplished AI engineer/Software developer to join our team and lead the design, development, deployment, and adoption of AI and machine learning solutions. This role will focus on building agentic AI systems, generative AI workflows, and scalable data platforms that power intelligent decision-making across the enterprise. The ideal candidate will possess deep expertise in AI/ML, software engineering, quality engineering, and cloud-native architectures, with a passion for solving complex problems using cutting-edge technologies.

Key Responsibilities

• Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.

• Design and implementagentic AI systemscapable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts

• Design and developmulti-agent frameworksusing tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows.

• Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.

• Translate business requirements into agentic AI solutions.

• Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.

• Conduct context andprompt engineeringusing zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.

• Optimize agents based on different models for performance, scalability, and accuracy.

• Ensure ethical AI practices and compliance with data privacy regulations.

• Document processes, models, and code for transparency and reproducibility.

• Conduct research and stay up to date with the latest advancements in AI/ML technologies.

AI-Driven Testing & Innovation

• Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics).

• Leverage machine learning and generative AI to improve:

• Test case generation

• Test data creation

• Defect prediction and triaging

• Root cause analysis

• Drive adoption of intelligent test automation frameworks and autonomous testing strategies.

Collaboration & Stakeholder Management

• Partner with Product Managers, Architects, and Engineering leaders to embed quality early in design.

• Partner with Product Managers, Architects, Engineering leaders, and RTEs

• Communicate status, risks, and improvements to leadership

• Influence enterprise adoption of modern Engineering practices across multiple teams and programs.

Required Skills & Experience

• Proficiency in programming languages such asPython,Java, orC++.
• UI/End to End Test Automation with Playwright
• Performance Load testing
• Strong foundation inAI/ML algorithms,data structures, software & quality engineering principles.
• Understanding of cloud platforms(e.g., AWS, Azure, GCP) for deploying AI solutions.
• Familiarity withMLOpstools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD).
• Solid knowledge ofdata structures,algorithms, andsoftware engineering principles.
• Experience with agent orchestration,LLMOps, andmodel lifecycle management, vector search,information retrieval, graph algorithms and knowledge graph.
• Experience withversion control systems(e.g., Git).
• Familiarity with agent orchestration platforms and enterprise integration.
• Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience

• Experience withnatural language processing (NLP),computer vision, orreinforcement learning.
• Knowledge ofgenerative AIandfoundation models(e.g., Gemini, Claude).
• Experience withreal-time inference systemsandedge AI.
• Background inmathematics,statistics, orcomputational neuroscience.
• Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)
• Understanding ofAI ethics,bias mitigation, andexplainable AI.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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