AI-Native Engineering Solutions Sales Specialist
Level: Associate Director
Location: Toronto, CANADA (Onsite – 3 days)
Travel: As Required
Employment Type: Full-Time
As a AI-Native Engineering Solutions Sales Specialist you will make an impact by accelerating growth across our Software Engineering Group (SEG) portfolio and helping clients unlock measurable business value through AI-powered transformation. You will be a valued member of the Software Engineering Group (SEG) team and work collaboratively with account, solution, and delivery teams, and clients.
In this role, you will
· Drive revenue growth and market expansion by identifying, qualifying, and shaping strategic opportunities across Cognizant's Software Engineering Group portfolio including Agentic SDLC, Context Engineering, AI-enabled modernization, AI Assurance, and Resilient IT Operations.
· Act as a trusted advisor to CIOs, CTOs, Chief Digital Officers, VPs, engineering leaders, and business executives by leading executive briefings, discovery sessions, innovation workshops, and AI transformation discussions.
· Lead consultative and value-based solution sales efforts by developing compelling business cases, differentiated value propositions, and outcome-driven strategies that align client objectives with Cognizant capabilities.
· Partner with Client Partners, Account Executives, Solutions, Delivery leaders, and technology alliances to build pipeline, increase wallet share, and accelerate sales cycles across existing and new opportunities.
· Position AI-native engineering solutions including AI-assisted software development, Agentic AI, Context Engineering, Knowledge Grounding, AI-led modernization, and intelligent automation to address client business challenges.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
· Minimum of 10+ years of experience in Technology, Solution sales, Business development, client advisory with direct involvement in AI-related initiatives.
· Minimum of 2+ years of hands-on experience with Artificial Intelligence technologies, including Generative AI and Agentic AI solutions.
· Proven experience in consultative selling, opportunity shaping, value proposition development, and driving technology-led transformation discussions with senior stakeholders.
· Strong understanding of AI-native engineering concepts including AI-assisted software development, Context Engineering, AI-led modernization, AI Assurance, and intelligent software delivery practices, with experience using modern AI-enabled developer platforms and engineering tools such as Claude Code, GitHub Copilot, Cursor, or Devin/Cognition.
· AI and Cloud certifications.
These will help you succeed
· Experience supporting AI transformation initiatives within large enterprise environments.
· Exposure to AI-native software engineering practices, digital engineering, application modernization, cloud transformation, quality engineering, and software delivery organizations.
· Experience collaborating with technology alliance partners and hyperscaler ecosystems.
· Participation in industry forums, executive workshops, innovation programs, or thought leadership initiatives focused on AI and digital transformation.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD $150,000.00 – 165,000.00 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
#LI-RP1
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
Bewerberinnen und Bewerber können verpflichtet sein, an Vorstellungsgesprächen persönlich oder per Videokonferenz teilzunehmen. Darüber hinaus kann es erforderlich sein, bei jedem Gespräch einen gültigen staatlichen Lichtbildausweis vorzulegen.
Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.







