ai ml engineer eb applied ai and analytics

The Hartford

<div>Data Engineer - GE08AE<p>
We&rsquo;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 &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>The Hartford is seeking an Applied AI Engineer within EB Applied AI and Analytics to define, build, deploy, and sustain enterprise-scale applied AI solutions with significant business impact. This role carries accountability for complex, multi-domain AI systems in production and serves as a technical authority and strategic problem solver across the applied AI portfolio, while remaining hands-on with critical components.</p><p><b>
Team Description</b></p><p>
The Employee Benefits Applied AI and Analytics (EB AIA) team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB AIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agentic AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design, build, and maintain AI components and data pipelines that support applied AI use cases</p></li><li><p>
Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference</p></li><li><p>
Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices</p></li><li><p>
Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs</p></li><li><p>
Support deployment, monitoring, and maintenance of AI services and workflows in production environments</p></li><li><p>
Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability</p></li><li><p>
Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases</p></li><li><p>
Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
3&ndash;6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, IT, MIS, or a related discipline</p></li><li><p>
Working experience with Python and SQL</p></li><li><p>
Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines</p></li><li><p>
Exposure to deploying applications or data workflows in AWS, Azure, or GCP</p></li><li><p>
Ability to work effectively within defined architectural, security, and engineering</p></li></ul><p><i>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
</i></p><p><i>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</i></p><p><b>
Compensation</b></p><p>
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&rsquo;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:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI/ML Engineer, EB Applied AI and Analytics

<div><p>We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io<br>
<br>
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.</p><p></p><p><b>
About The Role</b></p><p>
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x&rsquo;s machine learning initiatives and future analytics-driven product features.<br>
<br>
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li>Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.</li><li>Contribute to the evolution of K1x&rsquo;s data lakehouse strategy, including adoption of Snowflake.</li><li>Develop and maintain robust ETL/ELT pipelines for large-scale data processing.</li><li>Implement data quality checks, validation, and monitoring.</li><li>Enable machine learning workflows with clean, well-structured datasets.</li><li>Support analytics and reporting use cases including Power BI.</li><li>Partner with Product, Engineering, and AI teams on data solutions.</li></ul><b><br>
Requirements</b><p><b><br>
Who You Are</b></p><ul><li>4&ndash;8+ years of experience in data engineering or backend engineering with a data focus.</li><li>Strong experience building data pipelines and ETL/ELT workflows.</li><li>Proficiency with SQL and relational data modeling.</li><li>Experience with cloud-based data platforms (Azure preferred).</li><li>Understanding of data quality, reliability, and monitoring.</li><li>Strong communication and collaboration skills.</li></ul><p></p><p><b>
It&rsquo;s Truly a Match If You Have</b></p><ul><li>An engineering mindset applied to data platforms.</li><li>Passion for building scalable, reliable data foundations.</li><li>Interest in enabling ML and analytics-driven products.</li><li>Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.</li><li>Comfort balancing near-term delivery with long-term architecture.</li></ul><b><br>
Benefits</b><br>
<ul>
<li>Unlimited Vacation Policy + Sick Time + Holidays
</li><li>Paid Parental Leave
</li></ul><ul><li>Fully Remote Opportunity
</li><li>Healthcare Benefits and 401K
</li><li>Growing Startup Culture</li></ul></div>

Data Engineer

Applied Machine Learning Engineer – ML & AI Systems

Director of Artificial Intelligence

Ahead

<div><div>AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.</div>
<div></div>
<div>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</div>
<div></div>
<div>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</div>
<div></div>
<div><b><i>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</i></b></div><div></div><div><b><br>
LAUNCH &ndash; Join AHEAD's Associate Development Program</b></div>
<div></div>
<div>Our Mission: to attract and develop a diverse community of THE top IT consulting talent in the country and build AHEAD&rsquo;s next generation of leaders.</div>
<div></div>
<div>LAUNCH serves as the foundation to develop our talent into high potential leaders at AHEAD. By exposing you to a variety of career paths and building your acumen across different practices in the business, we&rsquo;re accelerating your growth and career trajectory at AHEAD.
</div>
<div></div><div>Our development program is built on a foundation of technical training, completion of certifications, and shadowing, all supported by an ecosystem of AHEADians that will be part of your Launch journey, every step of the way! You&rsquo;ll grow and develop key skills that will support your development as a technical and consulting expert. If you&rsquo;re ready to begin an exciting career in IT Consulting, LAUNCH is where you should be!</div>
<div></div>
<div><b>Associate AI Engineer</b></div>
<div>(Internally known as an Associate Technical Consultant)</div>
<div></div>
<div>As an Associate Engineer in LAUNCH, you will start out in a 3-month training program within our Digital Solutions Group (DSG) practice focused on AI solutions. Upon completion of LAUNCH, you will have the opportunity to work on client projects based on skillset, personal interest, and business needs.</div>
<h3 class="jobSectionHeader"><b>Who we&rsquo;re looking for: Think Big, Learn, and Be Curious
</b></h3><ul><li>Innovative Thinkers</li>
<li>Enthusiastic Collaborators</li>
<li>Creative Problem Solvers</li>
<li>Curious Self &ndash; Starters</li>
</ul><h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul>
<li>Ability to communicate effectively across teams, and build positive relationships</li>
<li>Demonstrate ability to work on teams, collaborate on projects, and contribute to the overall successful delivery of projects</li>
<li>Demonstrate drive and proactiveness to get things done, be solutions&ndash;oriented, and enjoy solving complex problems</li>
<li>Demonstrate resourcefulness, curiosity, creativity, courage, critical thinking, and a desire to use technology to search for new and innovative solutions to problems</li>
<li>Exercise sound reasoning, ingenuity, and inclusive perspectives to analyze issues, solve problems and make recommendations</li>
<li>Ability to execute, manage competing priorities, and deliver to deadlines</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><ul>
<li>Working knowledge of AI/ML fundamentals, including model types (transformers, embeddings, diffusion), data pipelines, and inference workflows</li>
<li>Proficiency in Python, with exposure to frameworks such as FastAPI, Flask</li>
<li>Familiarity with GenAI tooling (OpenAI, Anthropic, Gemini, etc.) and vector stores (Pinecone, FAISS, Weaviate)</li>
<li>Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)</li>
<li>Understanding of MLOps concepts&mdash;version control (Git, DVC), CI/CD, observability, and deployment best practices</li>
<li>Experience in at least one of the following:</li>
<li>Academic or personal AI/ML projects</li>
<li>Internship or co-op in software or data engineering</li>
<li>Technical bootcamp or certificate program in AI, ML, or cloud computing</li>
<li>Certifications such as AWS Cloud Practitioner, Microsoft MS-900, or GCP Cloud Engineer are a plus</li>
<li>Excellent communication, teamwork, and problem-solving abilities</li>
<li>U.S. work authorization required
</li></ul><h3 class="jobSectionHeader"><b>Experience in at least one of the below:</b></h3><ul>
<li>Graduated with a degree in technical discipline by 6/8/26</li>
<li>Prior intern, co-op, or research experience in IT, software, or relevant field is a plus</li>
<li>Successful completion in a technical&ndash;related bootcamp</li>
</ul><div>We are unable to consider candidates who require visa sponsorship for this role.</div><div></div><div><i><br>
The compensation range indicated in this posting reflects the On-Target Earnings (&ldquo;OTE&rdquo;) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate&rsquo;s relevant experience, qualifications, and geographic location.</i></div>
<div></div>
<div><b>Why AHEAD:</b></div>
<div></div>
<div>Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.</div>
<div></div>
<div>We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.</div>
<div></div>
<div><b>USA Employment Benefits include:</b></div>
<ul><li>Medical, Dental, and Vision Insurance</li></ul>
<ul><li>401(k)</li></ul>
<ul><li>Paid company holidays</li></ul>
<ul><li>Paid time off</li></ul>
<ul><li>Paid parental and caregiver leave</li></ul>
<ul><li>Plus more! See benefits https://www.aheadbenefits.com/ for additional details.</li></ul>
<div></div>
<div><b>Use of AI:</b></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.</div>
<div></div>
<div>If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com.</div>
<div></div>
<div>You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Associate AI Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a quantitative discipline or equivalent practical experience.</li>
<li>7 years of experience in business intelligence, analytics, or quantitative analysis related fields.</li>
<li>Experience in programming and SQL.</li>
<li>Experience working with cross-functional teams, including engineering, product management, and business stakeholders.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working within Finance domains (e.g., accounting, financial planning and analysis, treasury, procure-to-pay).</li>
<li>Experience in technical fluency and a comfort level with AI, enabling partnership with engineering teams.</li>
<li>Track record of managing and delivering complex AI/ML or large-scale data projects.</li>
<li>Understanding of data architecture, data warehousing, data governance, and business intelligence principles.</li>
<li>Ability to influence without direct authority and drive consensus across executive stakeholders.</li>
<li>Excellent problem-solving, and communication skills, with the ability to convey complex technical concepts to non-technical audiences.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data to inform business and product decisions across the company. Using your technical skills, business acumen and creativity, you will build tools to automate reporting and generate insight that will allow clients to quickly and accurately see how our key business products and processes are performing. Previous experience managing finance systems projects, with emphasis on providing business intelligence and data driven insight through reporting, will have equipped you well for this role. You&rsquo;ll be involved in projects from inception to delivery, ensuring that your reporting delivers high-quality and relevant data to intelligently grow our business. You will also have extensive knowledge of key financial systems, such as Oracle and Hyperion, and experience working with a range of other business intelligence tools and platforms.</p>
<p>
As a Program Manager on the Finance Data and Analytics (DnA) team, you will play a pivotal role in driving high-impact AI and data projects from initiation through to launch and landing. You will be the crucial link between Finance business stakeholders and various engineering teams (including DnA, FinEng, Cloud, and others). Your strong technical expertise and program management skills will be essential to ensure we design, build, and deliver innovative solutions that provide significant business value, are widely adopted, and can scale. You will be responsible for the how and when of project delivery, ensuring technical feasibility and orchestrating cross-functional execution.</p><p>
The name Google came from &quot;googol,&quot; a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.</p><p>
The US base salary range for this full-time position is $148,000-$215,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Partner with Finance stakeholders, including Subject Matter Expert (SME) and process owners, to understand business challenges, processes, and opportunities for AI and data-driven solutions.</li>
<li>Translate business needs into clear, feasible technical requirements, solution designs, and actionable project roadmaps, considering the key AI/ML capabilities.
</li><li>Define project scope, objectives, success metrics, and key features, prioritizing work to deliver iterative value, starting with minimum viable products.</li>
<li>Exercise technical judgment to evaluate design choices, understand technical trade-offs, and ensure scalable, secure, and compliant solutions.</li>
<li>Collaborate with virtual project teams composed of Developers (e.g., data scientists, software engineers, data engineers, BI analysts) from various internal and partner teams. Identify, analyze, and mitigate project risks and dependencies, remove blockers to ensure on-time delivery.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Program Manager, AI/ML, Finance Data and Analytics

<div>AVP Data Science - GD05AE<p>
We&rsquo;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 &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><h2 class="jobSectionHeader"><b>The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford&rsquo;s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and ‑AI driven‑ decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.</b></h2><h2 class="jobSectionHeader"><b>
This role will have a </b><b>Hybrid work schedule,</b><b> with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week.</b><b><i> Candidates must be eligible to work in the US without company sponsorship.
</i></b></h2><h2 class="jobSectionHeader"><b>Primary Job Responsibilities</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business‑unit AI priorities into multi‑year portfolio roadmaps and investment plans.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Skills</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Education, Experience, Certifications and Licenses</b></h2><ul><li><h2 class="jobSectionHeader"><b>
12+ years of applicable experience with a Bachelor&rsquo;s degree; fewer years may be accepted with a higher degree. Master&rsquo;s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.</b></h2></li><li><h2 class="jobSectionHeader"><b>
7&ndash;10+ years leading leaders, large portfolios, or complex programs.</b></h2></li></ul><p><b>
Compensation</b></p><p>
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&rsquo;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:</p>
$182,400 - $273,600<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AVP Applied AI

Explore 802+ Ai ml engineer eb applied ai and analytics in Chicago this April. Find roles across top companies and apply now to boost your career.