6 Solutions Architecture Jobs

Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. What you'll be doing Key Responsibilities: Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Master's degree in Computer Science, Engineering, or related field Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field Technical Skills: Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with ability to think creatively and drive innovation Nice to Have: Experience with Agile development methodologies Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail) Certification in AI/ML or related field (e.g., AWS Certified Machine Learning Specialty)

Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What you'll be doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelors degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset.

Role: ServiceNow Architecture Role & responsibilities: The primary focus of this engagement is to assist and oversee migration activities: Work with development teams and Product Managers to ideate software solutions. Design and architect ServiceNow solutions that align with business needs. Create technical architecture and design documents that outline system configurations and customizations. Lead the implementation of ServiceNow modules and applications. Collaborate with cross-functional teams to ensure seamless integration with other systems. Establish and enforce best practices and governance standards for ServiceNow development. Stay up-to-date with ServiceNow releases and features to leverage new capabilities. Guide the development of custom applications, workflows, and scripts within ServiceNow. Review and approve development work to ensure compliance with design specifications. Identify areas for improvement and implement enhancements. Assist with migration related activities from the existing vendor. Collaborate with business stakeholders to gather requirements and translate them into technical solutions. Conduct workshops and training sessions to educate users on ServiceNow functionalities. Provide technical guidance and support for ServiceNow-related issues.

Position Overview: - We are seeking a highly skilled and experienced Senior Manager - Technology to reshape the entire educational ecosystem to be more agile, technology-driven, and student-centric. - The Solutions Architect will lead and manage the seamless migration of technology systems, applications, and data across various platforms and environments across Ekya Schools. The ideal candidate will have a strong background in implementing cutting-edge technologies to transform products and drive innovation. Quick Snapshot - Key Responsibilities Solution Design: Work with business leaders and technical teams to understand business needs and translate them into technical solutions. Design comprehensive system architectures, including integration points, data flows, and infrastructure needs. Ensure solutions meet functional, non-functional, and security requirements. Technical Leadership: - Lead the technical direction and development of complex solutions across various technology stacks, ensuring scalability, reliability, and performance. - Provide hands-on guidance for implementation teams, ensuring alignment with architectural decisions.- Prepared detailed architecture blueprints and migration road maps- Support the teams throughout the migration journey, ensuring seamless transition and minimal downtime- Encourage teams to transition from traditional file storage to Cloud ERP, enhancing scalability and reducing storage costs- Focus on implementing best practices in cloud security, performance optimization, and cost management- Migration of on-premises databases to Cloud ERP resulting in improved scalability and cost efficiency- Improve application performance and scalability by adopting GCP-native services- Enhanced data security and compliance by integrating Cloud ERP's security features- Good reference to the technologies involved in the integration process, such as programming languages (e.g., JavaScript, Python), frameworks, or platforms that support API interactions. Stakeholder Communication: - Communicate technical solutions to the leadership team and other non-technical stakeholders, helping them understand the implications of different design decisions.- Collaborate with cross-functional teams to ensure solution alignment and buy-in across departments. Best Practices & Standards: - Ensure that design and development adhere to industry standards, best practices, and security policies.- Continuously evaluate and incorporate emerging technologies to improve architecture and design practices. Risk Management: - Identify potential risks and bottlenecks in system designs, and implement risk mitigation strategies.- Assess the impact of changes and new technologies on existing systems and processes. Documentation & Reporting: - Produce detailed architecture documentation, including diagrams and specifications, to guide the implementation process.- Present technical proposals and design reviews to stakeholders. Continuous Improvement: - Evaluate current migration processes and methodologies, recommending improvements or new approaches to streamline and optimize future migrations.- To stay informed about emerging technologies and assess their potential impact on educational institutions.- To foster a culture of innovation and collaboration to support technological advancements in teaching, research, and administration. Key Qualifications Education : Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Master's degree preferred.Experience: Minimum of 15 years of experience in Solutions Architecture, Software Development or IT Infrastructure.Proven experience with designing and deploying enterprise-level solutions in cloud ERP environments.Familiarity with Agile methodologies and experience working in an Agile environment.. Technical Skills: - Strong understanding of system architecture, including cloud computing, databases, microservices, and integration patterns.- Experience with various programming languages (e.g., Java, Python, C#, JavaScript) and frameworks.- Familiarity with API design, security protocols, and integration strategies.- Knowledge of DevOps practices, CI/CD pipelines, and automation tools.- Understanding of security, compliance, and data privacy considerations in system design.

What success looks like in this role: Provides Solutions Architecture consultation and advice Unisys-wide. Works with clients, Product Owners, Sales & Sales Excellence teams and other stakeholders to align the architectural direction of solution intent. Serves as lead on large-scale solution and component development, engaging with cross-functional leaders and stakeholders to ensure mutual understanding, ongoing communication and alignment of outcome expectations. Conducts or leads studies to determine the economic, technical and organizational feasibility of proposed solutions. Works on applications and system problems that are highly complex and diverse in scope, require input from divergent cross-functional teams and have potentially company-wide impact. You will be successful in this role if you have: BA/BS degree and 8+ years relevant experience OR equivalent combination of education and experience Masters degree preferred

The Customer Solutions Architect acts as a trusted advisor partnering with the customers on their needs. Understands and captures the critical inputs of stakeholders and translates them into effective requirements and solutions. Specifies and designs effective end-to-end solutions incl. customer-specific adaptations by using the Nokia portfolio of products, systems and / or services as well as 3rd party products where required. Applies solution architecture standards, processes, and principles to create and maintain a solution's (technical) integrity over time. Architecture (ART) covers the development of end-to-end solution architecture designed to meet specific needs and works as a part of a customer team. Contains the definition of an architecture which comprises an integration design and specification of products and / or services which makeup the solution. Collaboration and Leadership Work closely with cross-functional teams (PLM, Product R&D, Services and Care) to align on business and technical requirements, ensuring seamless delivery of services. Contribute to documentation, training, and knowledge-sharing efforts to enhance team expertise and collaboration. Work closely with development, operations, and DevOps teams to deliver solutions that meet both business and technical requirements. Provide guidance and mentorship to junior engineers. Act as the subject matter expert on Security Products, Gen AI tools and Delivery Product Knowledge Good knowledge in Nokia Cyber Security products NIAM, NACM, NCM, NCLM, NEDR, CyberDome Knowledge in Gen AI Develops customer specific architecture in dedicated area of competence. Identifies the BG's involved and coordinates cross-BG activities for initial phase of solution development. Captures and manages the functional and non-functional requirements by using industry best practices. Understands and captures the critical inputs of stakeholders, and translates them into effective requirements and solutions. Specifies and designs effective end-to-end solutions, through the high as well as low level design of architecture, to meet customer needs in a market positioning prospective. Applies solution architecture standards processes and principles, to create and maintain a solution's integrity over time, including verification that the solution meets the clients requirements. Develops the full scope of the solution, working across organisations to achieve workable solutions. Researches, designs, plans, develops and evaluates an effective solution in specialised domains to meet customers' requirements and outcomes, thanks to high as well as low level design of architecture. Applies solution architecture standards processes and principles, to create and maintain a solution's integrity over time. Develops the full scope of the solution, working across organisations to achieve workable solutions. Contributes to strategic decisions within professional area. Solves complex problems based on sophisticated analytical thought and complex judgment. Contributes to development of concepts to determine professional direction of own organisational unit. Acts as a professional leader for staff / workteam / taskforces, often the most senior specialist in a team, who serves as best practice resource within own organisational unit and / or is recognised as an expert within the same professional area in the business. Often leads functional teams or projects with moderate resource requirements, risk and complexity, handles day-to-day staff management issues, including resource management and allocation of work.