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Applied A I Solutions Development Jobs (NOW HIRING)

A.I. Specialist (Intern)

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

... intelligence solutions to enhance our platform's capabilities. You will work closely with cross ... development journey. * Eligibility to join the esteemed Barkera Alumni Group, comprised of ...

Job Title A.I. Transformation Lead What Does an AI Transformation Consultant Do? The AI ... AI Solution Design & Implementation * Lead the design, development, and deployment of AI and ...

Consultative Sales & Solutions Development: Assess client needs and challenges, presenting tailored ... Disco, A.I. tools. Industry certifications in Relativity Sales, ACEDS ect, highly preferred ...

Solution Architect

Saint Louis, MO · Hybrid

$61.25 - $80.75/hr

Lightedge is seeking a Solutions Architect with deep expertise in IBM Power Systems and IBM i environments to help customers modernize, optimize, and scale critical infrastructure platforms. This ...

Solution Architect

Nashville, TN · Hybrid

$60.75 - $80.25/hr

Lightedge is seeking a Solutions Architect with deep expertise in IBM Power Systems and IBM i environments to help customers modernize, optimize, and scale critical infrastructure platforms. This ...

Director Applied R&D

Northbrook, IL · Hybrid

$183K - $244K/yr

The Director of R&D is a senior technical and business leader responsible for shaping and growing UL Solutions' applied research capability. This role leads multidisciplinary teams working across ...

Solution Architect

Des Moines, IA · Hybrid

$61.50 - $81/hr

Lightedge is seeking a Solutions Architect with deep expertise in IBM Power Systems and IBM i environments to help customers modernize, optimize, and scale critical infrastructure platforms. This ...

If you are NOT a current employee or student, please click "Apply" and complete the application ... the Applied Research Laboratory (ARL) at Penn State. Our department advances cutting-edge ...

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Applied A I Solutions Development information

See salary details

$29K

$53.4K

$81K

How much do applied a i solutions development jobs pay per year?

As of Jun 8, 2026, the average yearly pay for applied a i solutions development in the United States is $53,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $60,000.00 per year, depending on experience, location, and employer.
AVP Applied AI

Full-time

Posted 17 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

52nd of 260 rated insurance


Job description

AVP Data Science - GD05AE
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.
The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford'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.
This role will have a Hybrid work schedule, with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Skills
  • Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
  • Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.
  • 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.
  • 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.
  • Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance-by-design expectations.
  • Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi-year horizons.
  • Ability to influence VPs and senior partners through clear, data-driven communication of technical trade-offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications and Licenses
  • 12+ years of applicable experience with a Bachelor's degree; fewer years may be accepted with a higher degree. Master'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.
  • 7-10+ years leading leaders, large portfolios, or complex programs.

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:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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