Senior Level Applied AI Engineer Jobs
Senior level applied ai engineer jobs put experienced practitioners in charge of system architecture, model deployment decisions, and the applied research or engineering teams that build production-ready AI solutions. Openings cover 30% remote and hybrid arrangements across Technology & Software, Science & Research, and Insurance, with employers like Articul8, Anthropic, and JPMorganChase hiring at this level now.
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Showing 5 of 45+ Senior Level Applied AI Engineer jobs
The Company: Aflac Columbus
The Location:
GA, US, 31999
The Division: Digital Services
Job Id: 9883
Opportunity: Data Mod & Applied AI Lead
Salary Range: $140,000 - $200,000
Job Posting End Date: 10/9/2026
Work Designation: Depending on your location within the continental US, this role may be hybrid or remote.
If you live within 50 miles of the Aflac offices located in Columbus, GA or Columbia, SC, this role will be hybrid. This means you will be expected to work in the office for at least 60% of the work week. You will work from your home (within the continental US) for the remaining portion of the work week. Details of this schedule will be discussed with your leadership.
If you live more than 50 miles from the Aflac offices located in Columbus, GA or Columbia, SC, this role will be remote. This means you will be expected to work from your home, within the continental US. If the role is remote, there may be occasions that you are requested to come to the office based on business need. Any requests to come to the office would be communicated with you in advance.
What does it take to be successful at Aflac?
- Acting with Integrity
- Communicating Effectively
- Pursuing Self-Development
- Serving Customers
- Supporting Change
- Supporting Organizational Goals
- Working with Diverse Populations
What does it take to be successful in this role?
- Experience with cloud data platforms (AWS, Azure, or GCP data services stack)
- Familiarity with medallion architecture / modern data platform patterns
- Experience with spec-driven AI development environments (Kiro, Claude Code, or similar)
- Background in insurance, financial services, or other regulated industries
- Experience managing programs where AI agents perform significant portions of the implementation work
- Interest in or exposure to applied AI — agentic systems, conversational interfaces, or AI-driven automation beyond developer tooling
Education & Experience Required
Bachelor's Degree in Computer Science, Data Analytics, Business Administration or other related field
6+ years leading or managing technology programs (delivery manager, technical PM, engineering manager, or similar)
Demonstrated experience with data platforms, data engineering, or analytics/BI programs
Experience with AI coding/productivity tools
Experience working in or adjacent to git-based development workflows
Track record of delivering complex programs with small, high-autonomy teams
Or an equivalent combination of education and experience
Principal Duties & Responsibilities
- Lead AI-enabled requirements management by leveraging AI tools and agents to develop comprehensive intent-based specifications that clearly define business objectives, acceptance criteria, solution requirements, and design constraints, enabling consistent and unambiguous execution.
- Own and evolve the program knowledge ecosystem, maintaining a structured repository of architecture documentation, decision records, roadmaps, standards, and domain knowledge that serves as the authoritative source for both human teams and AI-enabled workflows.
- Drive data-informed program execution by leveraging repository-based metrics and delivery signals to monitor specification progress, workflow health, cycle times, and program outcomes, eliminating reliance on manual status reporting.
- Manage and prioritize the delivery portfolio, evaluating business value, dependencies, risks, and resource capacity to sequence work effectively and decompose complex initiatives into actionable, executable workstreams with AI-assisted analysis.
- Ensure solution quality and value realization by validating delivered capabilities against defined acceptance criteria, assessing outcomes, and identifying opportunities to improve requirements, processes, or execution approaches.
- Continuously enhance delivery standards and governance frameworks by establishing and maintaining reusable patterns, guidance, and operational controls that improve consistency, quality, and scalability across AI-enabled development efforts.
- Translate technical progress into business outcomes, providing stakeholders with clear insights through meaningful metrics, demonstrations, and value-focused communications that drive alignment and decision-making.
- Guide strategic trade-off decisions across speed, quality, cost, risk, and automation considerations to optimize program outcomes while balancing short-term delivery needs with long-term sustainability.
- Define and measure program success, establishing key performance indicators, success metrics, and value realization frameworks that drive accountability and continuously improve delivery effectiveness, specification quality, and operational efficiency.
- Champion AI-driven ways of working by embedding AI capabilities into program management, delivery processes, and decision-making practices to accelerate innovation, improve productivity, and enhance organizational effectiveness.
- Performs other duties as required
Total Rewards
The salary range for this job is $140,000 - $200,000. This range is specific to the job and salary offers consider a wide range of factors that are considered in making compensation decisions, including, but not limited to: education, experience, licensure, certifications, geographic location, and peer compensation. The range has been created in good faith based on information known to Aflac at the time of the posting.
At Aflac, it is not typical for an individual to be hired at or near the top of the range for the role to allow for future and continued salary growth, and compensation decisions are dependent on the circumstances of each case. This salary range does not include any potential incentive pay or benefits, however, such information will be provided separately when appropriate.
In addition to the base salary, we offer an array of benefits to meet your needs including medical, dental, and vision coverage, prescription drug coverage, health care flexible spending, dependent care flexible spending, Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee), 401(k) plans, annual bonuses, and an opportunity to purchase company stock. On an annual basis, you’ll also be offered 11 paid holidays, up to 20 days PTO to be used for any reason, and, if eligible, state-mandated sick leave (Washington employees accrue 1-hour sick leave for every 40 hours worked) and other leaves of absence, if eligible, when needed to support your physical, financial, and emotional well-being. Aflac complies with all applicable leave laws, including, but not limited to, sick and safe leave, and adoption and parental leave, in all states and localities.
Nearest Major Market: Columbus GA
The Company: Aflac Columbus
The Location:
GA, US, 31999
The Division: Digital Services
Job Id: 9883
Opportunity: Data Mod & Applied AI Lead
Salary Range: $140,000 - $200,000
Job Posting End Date: 10/9/2026
Work Designation: Depending on your location within the continental US, this role may be hybrid or remote.
If you live within 50 miles of the Aflac offices located in Columbus, GA or Columbia, SC, this role will be hybrid. This means you will be expected to work in the office for at least 60% of the work week. You will work from your home (within the continental US) for the remaining portion of the work week. Details of this schedule will be discussed with your leadership.
If you live more than 50 miles from the Aflac offices located in Columbus, GA or Columbia, SC, this role will be remote. This means you will be expected to work from your home, within the continental US. If the role is remote, there may be occasions that you are requested to come to the office based on business need. Any requests to come to the office would be communicated with you in advance.
What does it take to be successful at Aflac?
- Acting with Integrity
- Communicating Effectively
- Pursuing Self-Development
- Serving Customers
- Supporting Change
- Supporting Organizational Goals
- Working with Diverse Populations
What does it take to be successful in this role?
- Experience with cloud data platforms (AWS, Azure, or GCP data services stack)
- Familiarity with medallion architecture / modern data platform patterns
- Experience with spec-driven AI development environments (Kiro, Claude Code, or similar)
- Background in insurance, financial services, or other regulated industries
- Experience managing programs where AI agents perform significant portions of the implementation work
- Interest in or exposure to applied AI — agentic systems, conversational interfaces, or AI-driven automation beyond developer tooling
Education & Experience Required
Bachelor's Degree in Computer Science, Data Analytics, Business Administration or other related field
6+ years leading or managing technology programs (delivery manager, technical PM, engineering manager, or similar)
Demonstrated experience with data platforms, data engineering, or analytics/BI programs
Experience with AI coding/productivity tools
Experience working in or adjacent to git-based development workflows
Track record of delivering complex programs with small, high-autonomy teams
Or an equivalent combination of education and experience
Principal Duties & Responsibilities
- Lead AI-enabled requirements management by leveraging AI tools and agents to develop comprehensive intent-based specifications that clearly define business objectives, acceptance criteria, solution requirements, and design constraints, enabling consistent and unambiguous execution.
- Own and evolve the program knowledge ecosystem, maintaining a structured repository of architecture documentation, decision records, roadmaps, standards, and domain knowledge that serves as the authoritative source for both human teams and AI-enabled workflows.
- Drive data-informed program execution by leveraging repository-based metrics and delivery signals to monitor specification progress, workflow health, cycle times, and program outcomes, eliminating reliance on manual status reporting.
- Manage and prioritize the delivery portfolio, evaluating business value, dependencies, risks, and resource capacity to sequence work effectively and decompose complex initiatives into actionable, executable workstreams with AI-assisted analysis.
- Ensure solution quality and value realization by validating delivered capabilities against defined acceptance criteria, assessing outcomes, and identifying opportunities to improve requirements, processes, or execution approaches.
- Continuously enhance delivery standards and governance frameworks by establishing and maintaining reusable patterns, guidance, and operational controls that improve consistency, quality, and scalability across AI-enabled development efforts.
- Translate technical progress into business outcomes, providing stakeholders with clear insights through meaningful metrics, demonstrations, and value-focused communications that drive alignment and decision-making.
- Guide strategic trade-off decisions across speed, quality, cost, risk, and automation considerations to optimize program outcomes while balancing short-term delivery needs with long-term sustainability.
- Define and measure program success, establishing key performance indicators, success metrics, and value realization frameworks that drive accountability and continuously improve delivery effectiveness, specification quality, and operational efficiency.
- Champion AI-driven ways of working by embedding AI capabilities into program management, delivery processes, and decision-making practices to accelerate innovation, improve productivity, and enhance organizational effectiveness.
- Performs other duties as required
Total Rewards
The salary range for this job is $140,000 - $200,000. This range is specific to the job and salary offers consider a wide range of factors that are considered in making compensation decisions, including, but not limited to: education, experience, licensure, certifications, geographic location, and peer compensation. The range has been created in good faith based on information known to Aflac at the time of the posting.
At Aflac, it is not typical for an individual to be hired at or near the top of the range for the role to allow for future and continued salary growth, and compensation decisions are dependent on the circumstances of each case. This salary range does not include any potential incentive pay or benefits, however, such information will be provided separately when appropriate.
In addition to the base salary, we offer an array of benefits to meet your needs including medical, dental, and vision coverage, prescription drug coverage, health care flexible spending, dependent care flexible spending, Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee), 401(k) plans, annual bonuses, and an opportunity to purchase company stock. On an annual basis, you’ll also be offered 11 paid holidays, up to 20 days PTO to be used for any reason, and, if eligible, state-mandated sick leave (Washington employees accrue 1-hour sick leave for every 40 hours worked) and other leaves of absence, if eligible, when needed to support your physical, financial, and emotional well-being. Aflac complies with all applicable leave laws, including, but not limited to, sick and safe leave, and adoption and parental leave, in all states and localities.
Nearest Major Market: Columbus GA
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Top Industries Hiring
- Technology & Software20
- Science & Research8
- Insurance3
- Electronics & Hardware3
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Senior Level Applied AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level applied ai engineer job?
Employers hiring at this level look for candidates who have owned end-to-end ML pipelines in production, not just contributed to them. Demonstrating that you have made architectural decisions, debugged systems under real constraints, and mentored junior engineers sets you apart. A portfolio of deployed models with measurable business impact carries more weight than credentials alone at the senior level.
Which companies hire senior level applied ai engineers?
Companies hiring senior level applied ai engineers right now include Articul8, Anthropic, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a mix of large technology firms scaling AI infrastructure, enterprise companies embedding AI into core products, and well-funded startups building specialized model applications.
Are there remote senior level applied ai engineer jobs?
Yes, remote and hybrid opportunities are widely available at this level. About 30% of senior level applied ai engineer openings are remote or hybrid as of September 2026, reflecting how many organizations treat senior AI engineers as distributed contributors who can lead effectively without being on-site every day.
What makes an applied ai engineer role senior level?
Senior level applied ai engineer roles are defined by scope and ownership. You are expected to design systems rather than implement tickets, evaluate tradeoffs across modeling approaches, and represent technical direction in cross-functional conversations. Mentoring junior engineers and reviewing the work of others is a core expectation, not an occasional add-on. The role requires independent judgment on ambiguous problems, not just execution of defined tasks.
Which industries hire the most senior level applied ai engineers?
Senior level applied ai engineer roles concentrate in Technology & Software, Science & Research, and Insurance, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are integrating AI into high-stakes, large-scale systems where experienced engineers who can own outcomes and lead technical decisions are essential.