AI Software Engineer

Mphasis; Calgary; Remote; CAD 170,000 - 255,000; Full time

Job summary

Mphasis in North America is seeking an Applied AI Scientist to develop agentic decision systems that help users reason over data and improve decision quality.

You will design, evaluate, and deploy end‑to‑end solutions, collaborating with stakeholders to translate complex problems into robust AI‑powered tools.

The role emphasizes rigorous experimentation, tool use, and scalable software development with a focus on architecture and reliability.

Qualifications

• Strong quantitative foundation in mathematics, physics, statistics, engineering, or related fields.
• Hands-on experience in designing or developing agentic systems, including multi-step reasoning and planning.
• Proficiency in Statistical Modelling and AI / ML algorithms, with understanding of uncertainty, validation, and experiment design.
• Ability to produce high-quality software using AI coding systems, with emphasis on architecture and code quality.
• Strong analytical thinking and problem-solving, with willingness to question assumptions and redefine problems.

Responsibilities

• Design and Build: Create agentic decision-support systems that can reason over data, interact with models, and assist in complex human decision‑making.
• Systematic Improvement: Develop evaluation frameworks, feedback loops, and benchmarks to identify system failures and validate improvements.
• Quantitative Problem‑Solving: Define measurable objectives, analyze performance distributions, and distinguish genuine improvements from metric shifts.
• Architectures Exploration: Investigate self‑improving agentic architectures, including adaptive tool selection and policy improvement mechanisms.
• Statistical and ML Application: Apply AI/ML algorithms to enhance system reliability and usability.
• Software Development: Produce high‑quality software using AI coding systems, focusing on architecture and quality.
• End‑to‑End Ownership: Manage complex problems from formulation to deployment.
• Challenge Assumptions: Question problem definitions and optimize solutions through rigorous analysis.
• Stakeholder Engagement: Communicate complex ideas clearly to technical and business stakeholders.

Skills

Quantitative foundation

Agentic systems design

Statistical Modelling

AI/ML software

Analytical thinking

Education

Masters or PhD preferred

Job description

Job Title: Applied AI ScientistDesignation: AI Scientist

Location: Canada or United States (US time zones)

We are seeking an exceptional Applied AI Scientist to develop agentic decision systems that empower individuals to make informed decisions. This role focuses on understanding how intelligent systems can effectively reason over complex problems, utilize tools and models, and improve systematically over time. You will tackle ambiguous enterprise challenges, employing a variety of methodologies to enhance decision‑making processes.

Responsibilities

• Design and Build: Create agentic decision‑support systems that can reason over data, interact with models, and assist in complex human decision‑making.
• Systematic Improvement: Develop evaluation frameworks, feedback loops, and benchmarks to identify system failures and validate improvements.
• Quantitative Problem‑Solving: Define measurable objectives, analyze performance distributions, and differentiate genuine improvements from mere metric shifts.
• Architectures Exploration: Investigate self‑improving agentic architectures, including adaptive tool selection and policy improvement mechanisms.
• Statistical and ML Application: Apply Statistical Modelling and AI / ML (Artificial Intelligence & Machine Learning) Algorithms techniques to enhance system reliability and usability.
• Software Development: Utilize AI coding systems to generate high‑quality software, focusing on excellence rather than volume of code.
• End‑to‑End Ownership: Manage complex problems from initial formulation through design, implementation, evaluation, and deployment.
• Challenge Assumptions: Question problem definitions and optimize solutions based on rigorous analysis.
• Stakeholder Engagement: Communicate complex ideas clearly to technical and business stakeholders, making assumptions and limitations explicit.

Mandatory Skills

• Strong quantitative foundation in mathematics, physics, statistics, engineering, or related fields.
• Hands‑on experience in designing or developing agentic systems, including multi‑step reasoning and planning.
• Proficiency in Statistical Modelling and AI / ML (Artificial Intelligence & Machine Learning) Algorithms, with a solid understanding of uncertainty, validation, and experiment design.
• Ability to produce high‑quality software using AI coding systems, with a focus on architecture and code quality.
• Strong analytical thinking and problem‑solving skills, with a willingness to question assumptions and redefine problems.

Preferred Skills

• Experience in decision science, causal inference, or Optimization techniques.
• Familiarity with reinforcement learning, simulation, or adaptive experimentation.
• Knowledge of agent evaluation and performance improvement mechanisms.
• Experience in complex enterprise decision environments such as finance, insurance, or logistics.

A master's or PhD in a quantitative discipline is preferred, but exceptional candidates with a bachelor's degree and strong analytical skills will also be considered. Candidates should be comfortable reasoning mathematically about unfamiliar problems and possess a deep curiosity for understanding complex systems.

Join us at Mphasis, where we leverage next‑generation technology to transform enterprises globally. We are committed to fostering an inclusive environment and welcome applications from all qualified candidates.

Equal Opportunity

Mphasis is an equal opportunity employer. Qualified candidates are considered without regard to characteristics protected by applicable federal, state, provincial, or local law. We are dedicated to providing reasonable accommodations to individuals with disabilities throughout the recruitment process.

About Mphasis

Mphasis applies next‑generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper‑personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to [e-mail] and let us know your contact information and the nature of your request.