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Ai Implementation Jobs in Remote, OR (NOW HIRING)

AI-led SaaS implementation velocity : Moves programs toward faster implementation cycles consistent with Sapiens' AI-led SaaS delivery model, applying configuration-over-customization discipline.

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

Data Scientist

OR · On-site +1

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Work with multiple teams to architect, design and implement a data driven backend architecture to ...

Lead Software Developer

OR · Remote

$105K - $141K/yr

Leveraging modern engineering practices, AI-enabled development tools, and rigorous testing ... implementation, researching, evaluating problems, and recommending and implementing decisions ...

Lead design and implementation of AI-enabled field service capabilities, including work order summaries, technician recommendations, knowledge retrieval, anomaly detection, predictive insights, and ...

Design Lead

OR · On-site +1

Implement the client's 1P & 3P AI tools to accelerate the creative production cycle. * Process Automation: Collaborate with Creative Technologists to automate repetitive tasks like resizing and ...

Identify and implement state-of-the-art AI tools (e.g., Adobe Firefly, Midjourney, Stable Diffusion) to accelerate the creative production cycle. * Process Automation: Collaborate with Creative ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Create and implement daily worklists and goals for store associates. * Assume duties of the Store ... Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient ...

Principal Software Development Engineer

OR · Remote

$138K - $185K/yr

Incorporate AI to deliver solutions and deliver AI enabled solutions Software Engineering * Lead the design and implementation of MuleSoft-based integrations using API-led connectivity principles and ...

Software Developer

OR · On-site +1

Strong experience designing and implementing multi-tiered enterprise applications. * 5+ years ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

Showing results 21-40

Ai Implementation information

See Remote, OR salary details

$39K

$103.4K

$167.8K

How much do ai implementation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai implementation in Remote, OR is $103,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $120,900.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Remote, OR?

For Ai Implementation jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Remote, OR look for?

The top searched job categories for Ai Implementation jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ai Implementation jobs?

Cities near Remote, OR with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Remote, OR as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 56% Physical, 3% Hybrid, and 41% Remote job distribution, with an average salary of $103,416 per year, or $49.7 per hour.

Program Director - Customer Architect

OR • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

Title: Program Director, Customer Architect
Location: Remote
Job Description
The Program Director owns the execution and delivery integrity of Sapiens customer programs. This role sits within the Delivery Success team and is the primary accountable leader for program governance, milestone management, and value delivery inside a customer engagement.
The Program Director is a senior delivery leader who brings deep insurance industry fluency, commercial discipline, and the judgment to manage complex, multi-workstream programs with clarity and speed. The role is accountable for ensuring that every milestone is delivered to agreed exit criteria, that every risk is visible before it becomes a crisis, and that the delivery model operates at the pace that shortens time-to-value for the customer.
The Program Director operates an AI-native delivery model in which the execution layer is progressively automated, enabling the role to focus on discernment, governance, and the customer relationship. The role works in close partnership with the Customer Success team, together stewarding the Customer Value Journey - the end-to-end path from implementation through to long-term success and value realization. Commercial outcomes - NRR, ARR, account margin, and customer referenceability - are shared responsibilities.
Key Responsibilities
Program Delivery & Commercial Outcomes:
  • End-to-end delivery ownership: Leads the full program lifecycle from initiation through planning, execution, and closure. Accountable for delivery on time, within scope, and within budget across all workstreams - including platform implementation, integration, data migration, and business change.
  • Time to Value: Owns the pace at which the customer realizes measurable business outcomes from the Sapiens engagement. Defines the time-to-value baseline at program initiation, tracks progress at every milestone, and uses delivery decisions to actively shorten it.
  • AI-led SaaS implementation velocity: Moves programs toward faster implementation cycles consistent with Sapiens' AI-led SaaS delivery model, applying configuration-over-customization discipline.
  • Commercial Outcomes: In partnership with Customer Success, owns NRR contribution of the customer portfolio, drives expansion levers, and reports against them.
  • Growth: Identifies upsell and cross-sell potential during delivery and converts insight into pipeline opportunities.
  • AI-native execution model: Operates a delivery model in which AI supports execution activities such as status tracking, risk summarization, documentation, and reporting cadence.

Milestone Management & Exit Criteria:
  • Milestone ownership: Defines, manages, and tracks program milestones with clear definitions of done, agreed exit criteria, and formal customer acceptance.
  • Exit criteria discipline: Works with the customer to agree exit criteria at the start of each phase; manages scope through change orders aligned to those criteria.
  • Milestone-based billing alignment: Ensures delivery milestones align with billing triggers and commercial events.
  • Risk and dependency management: Maintains a live program risk register, manages interdependencies across teams, and drives resolution proactively.

Insurance Industry Fluency & Customer Understanding:
  • Insurance domain depth: Develops deep understanding of the customer's business, operating model, and regulatory environment.
  • Customer relationship ownership: Holds the customer relationship at the program level, including C-suite engagement and trust-based partnership.

Proactive Customer Relationship & Escalation Management:
  • Customer relationship ownership at the program level: Holds the customer relationship at the C-suite level on substance and trust. Is the person the customer calls when something genuinely matters.
  • Proactive escalation management: Anticipates delivery risks and customer concerns, addressing issues before they escalate.
  • Customer Success partnership: Works in close coordination with the Customer Success Manager on the account. The PDCA owns delivery execution; the CS team owns the commercial relationship and expansion trajectory. Together, the PDCA and CS team own the Customer Value Journey - the handoff between these functions is deliberate, documented, and clean. Customer health is a shared metric.

Resource Orchestration & Team Leadership:
  • Cross-functional team orchestration: Manages delivery across blended teams: Sapiens employees, offshore delivery resources, SI partners, and customer-side teams. Ensures alignment, accountability, and pace across all.
  • Team leadership and development: Treats team development as a commercial lever, not an HR task - holding growth conversations early and building capability with intention. Leads the full talent lifecycle with candor and integrity, from onboarding through to role transitions.
  • Sapiens ambassadorship: Carries the Sapiens point of view into customer environments. Knows the Insurance Ontology argument, the AutonomousInsurer thesis, and the AI moat - and can hold them in a room.
  • Project Manager leadership: Directly leads a team of Project Managers across the program. Sets standards, drives accountability, and develops PM capability with intention. The PDCA is the delivery standard-setter on the account - the team performs to the level the PDCA models and demands.

Qualifications
  • 15+ years of experience leading complex enterprise software programs, including at least 5 years in senior delivery leadership roles.
  • Deep insurance domain knowledge (Life & Pension, Property & Casualty, or equivalent specialty lines), with familiarity in insurance technology platforms.
  • Demonstrated expertise in milestone-based delivery governance, exit criteria design, scope control, and change management.
  • Experience leading global cross-functional teams, including SI partners and offshore delivery resources.
  • AI transformation experience, including use of AI tools across program management and delivery.
  • Strong program financial management skills, including budgeting, forecasting, and cost-to-serve awareness.
  • Excellent communication and stakeholder management skills, including executive-level presentations.
  • Preferred: Experience with SaaS implementation programs, Scaled Agile (SAFe), or hybrid delivery models; PMP, PgMP, or PRINCE2 certification.
  • Undergraduate degree required; relevant postgraduate qualification is a plus.

At Sapiens, we are dedicated to building a diverse, equitable, and inclusive work environment. We believe that diverse perspectives, backgrounds, and experiences make us stronger and more innovative. We are committed to creating a culture where every individual is valued and can thrive regardless of their race, ethnicity, gender, age, sexual orientation, gender identity, religion, disability, or any other characteristic.
Sapiens is an E-Verified & Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-Remote
We Are
Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS-based insurance software, delivering hyper-relevant experiences that are efficient, compliant, and innovative. With agile intelligence, Sapiens' solutions turn real-time data and human insight into precise action at every moment, across every risk.
The Sapiens platform includes agentic workflows accelerating every capability across policy, underwriting, claims, reinsurance, decisioning, and finance and compliance.
With more than 600 insurers in over 30 countries running on Sapiens, our deep industry expertise is the foundation of our long-term relationships, from initial implementation through to modernization and market transformation.
Sapiens is headquartered in London, serving customers in property and casualty, life, reinsurance, specialty, and workers' compensation from offices across North America, Europe, the Middle East, and Asia Pacific.
Your Recruitment Journey
We will keep you in the loop, as we focus on providing an inclusive screening and interview process. Each country has a local flavor, but here's what you can expect during our recruitment process:
Apply
Take the first step in our journey by submitting an application that reflects your skills, experiences, and professional aspirations.
1
Review
Your CV will be carefully reviewed by our talent team to explore how your unique skills and potential align with Sapiens' needs and culture
2
Interview
This is your opportunity to shine! Meet with our team, showcase your abilities, and learn more about Sapiens
3
Offer
If there's a great match, we'll extend an offer to welcome you to our team. This is the exciting moment when your new journey begins to take shape
4
Onboard
Once you accept, we'll guide you through a comprehensive onboarding process, introducing you to your new colleagues, roles, and the exciting challenges ahead
5
Disclaimer
Sapiens India does not authorize any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens. Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events.
Accordingly, please check the authenticity of any such offers before acting on them and were acted upon, you do so at your own risk. Sapiens shall neither be responsible for honoring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution.
In the event that you come across any fraudulent activities in the name of Sapiens, please feel free report the incident at sapiens to sharedservices@sapiens.com.