Solutions Architect, AI Services
Welocalize
CloudPythonSQL
Job Level
Mid-LevelSenior
Tech Stack
CloudITSMNumpyPandasPython
About the role
- Design and present innovative multi/hybrid cloud and infrastructure solutions that address customer challenges and drive business growth
- Lead and contribute to creation of comprehensive responses to RFPs and RFIs, aligning technical proposals with customer requirements and business goals
- Collaborate with sales, delivery, solution architects, and customer success to shape winning solution narratives and technical differentiators for competitive bids
- Support presales engineering activities including solution positioning, scoping, and value articulation
- Present and demonstrate proposed solutions to technical and non-technical stakeholders and customers
- Develop and maintain high-quality technical documentation, including architectural diagrams and solution specifications, to support proposals and sales enablement
- Engage with internal stakeholders (engineering, legal, finance, product) to ensure solution feasibility, compliance, and alignment with strategic goals
- Leverage market trends, client feedback, and past bid data to continuously improve effectiveness of RFP responses and proposal strategies
Requirements
- Strong understanding of cloud architectures and API-driven systems to clearly communicate solution capabilities in RFP and customer discussions
- Experience working on competitive tenders, including crafting tailored responses and addressing scoring criteria
- Ability to translate business challenges into clear, compelling technical narratives and solution proposals
- Skilled in analyzing client requirements and shaping cost-effective, innovative solutions that meet RFP expectations
- Excellent written and verbal communication skills, especially in creating persuasive, structured technical content
- Demonstrated experience in collaborative cross-functional environments, particularly with presales, marketing, and product teams
- Proven hands-on experience managing and supporting on-premises infrastructure, including automation of provisioning, configuration, and deployment processes, and designing/executing migrations between on-premise environments and public cloud
- (Good-to-have) Familiarity with AI technologies such as Python (Pandas, NumPy), LLMs/RAG/Langchain, and experience designing or maintaining ML/deep learning models
- (Good-to-have) Understanding of CSM metrics and ITSM workflows as they relate to service proposal design
- (Good-to-have) Prior experience supporting business development initiatives, including customer workshops, bid defense presentations, and strategic client engagements
- (Good-to-have) Understanding of service-based business models and ability to clearly convey solution value and ROI in commercial terms
