What success looks like in this role:
Solution Discovery & Architecture
Lead enterprise discovery workshops to understand customer business objectives AI adoption maturity and cloud transformation needs
Design end-to-end AI and cloud solutions including data platforms intelligent applications automation and modernized architectures
Architect scalable secure and cost-optimized solutions leveraging AI/ML GenAI cloud-native and hybrid environments
Develop solution blueprints architecture diagrams and implementation roadmaps aligned to customer business outcomes
AI & Cloud Solutioning
Define AI/ML use cases including predictive analytics NLP computer vision GenAI and automation across industries
Design AI-enabled enterprise architectures integrating data engineering MLOps model lifecycle and AI governance
Recommend cloud services (Azure/AWS) for AI workloads such as data lakes AI services model deployment and APIs
Align solutions with responsible AI practices compliance and enterprise security standards
Cost Modeling & Financial Analysis
Develop detailed cost models and ROI/TCO analyses for AI and cloud transformation initiatives
Build cost estimates for infrastructure AI model lifecycle data platforms and operations
Create investment scenarios demonstrating business value productivity gains and innovation outcomes
Partner with finance and delivery teams to validate pricing margins and commercial feasibility
Technical Proposal Development
Own end-to-end presales deliverables including RFP/RFI responses solution documents and executive presentations
Develop compelling proposals covering architecture implementation approach timelines risks and success metrics
Translate complex AI and cloud capabilities into business-aligned value propositions
Leverage GenAI tools (Microsoft Copilot ChatGPT etc.) to accelerate proposal development and improve quality
Stakeholder Engagement & Deal Support
Present solutions to CXO and senior stakeholders articulating business impact and innovation value
Support sales teams in large/strategic deals and drive differentiation through AI-led solutions
Collaborate with internal teams (engineering delivery security finance) for solution validation
Contribute to deal strategy win themes and competitive positioning
Delivery Alignment & Post-Sales Support
Ensure seamless transition from presales to delivery with clear architecture and execution plans
Participate in solution kickoffs and governance discussions to ensure alignment
Continuously refine solution approaches based on delivery feedback and market trends
Key Qualifications
Proven experience in presales solution architecture or consulting roles focused on AI and cloud
Strong track record of designing and winning complex enterprise deals involving AI and digital transformation
Experience in building AI-driven solutions and cloud modernization strategies
Ability to create high-quality technical proposals and influence decision-making
Technical Expertise
Deep expertise in cloud platforms: Microsoft Azure (preferred) / AWS / GCP
Hands-on exposure to AI/ML technologies including GenAI NLP Computer Vision MLOps frameworks
Strong knowledge of data platforms (data lakes warehouses real-time pipelines)
Experience with application modernization microservices APIs and cloud-native architectures
Familiarity with DevOps IaC automation and observability practices
Proficient use of GenAI tools for solutioning documentation and productivity
Certifications & Nice-to-Haves
Azure Solutions Architect Expert / AWS Solutions Architect Professional
AI/ML certifications (Azure AI Engineer AWS ML Specialty etc.)
Experience in AI governance Responsible AI frameworks
ITIL / Service management frameworks
Exposure to GTM strategy pricing models or business development
Prior experience in system integrators consulting firms or global delivery models
#LI-SS1
You will be successful in this role if you have:
BA/BS degree and 15 years relevant experience OR equivalent combination of education and experience
Masters degree preferred
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age blood type caste citizenship color disability family medical history family status ethnicity gender gender expression gender identity genetic information marital status national origin parental status pregnancy race religion sex sexual orientation transgender status veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein or cannot otherwise complete your expression of interest without additional assistance and would like to discuss a request for reasonable accommodation please contact our Global Recruiting organization at . US job seekers can find more information about Unisys EEO commitment here.
Required Experience:
Senior IC
Employment Type : Full-Time
Experience: years
Vacancy: 1