Lead Software- solutions Architect

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Software Solutions Architect in United States.

We are seeking an accomplished technology leader to drive the design and delivery of next-generation AI-powered enterprise platforms. This role combines strategic architecture ownership with hands-on engineering expertise, offering the opportunity to shape scalable systems that integrate advanced AI capabilities, modern cloud infrastructure, and intelligent data solutions. You will work closely with cross-functional teams to transform complex business challenges into innovative technical products, while influencing long-term technology strategy and engineering excellence. The position is ideal for a visionary architect who thrives in fast-paced environments, enjoys mentoring high-performing teams, and is passionate about building impactful, future-ready software solutions.

• Lead the architecture, design, and evolution of scalable AI-native enterprise platforms supporting intelligent workflows, knowledge management, automation, and customer intelligence initiatives.
• Define technical strategy and architectural standards across cloud infrastructure, distributed systems, APIs, microservices, data platforms, AI orchestration frameworks, and developer tooling.
• Design and implement robust solutions that support structured and unstructured data processing, semantic search, vector retrieval, embeddings, and real-time AI-driven workflows.
• Architect and guide the development of advanced AI applications, including Retrieval-Augmented Generation (RAG), multi-agent systems, knowledge graphs, AI-assisted automation, and intelligent content generation.
• Establish best practices for security, scalability, observability, performance, reliability, and operational excellence across the technology ecosystem.
• Provide hands-on technical leadership through code reviews, architecture reviews, development of reusable frameworks, and implementation of critical platform components.
• Drive adoption of modern engineering practices, including CI/CD pipelines, testing frameworks, automation tools, and AI-assisted development methodologies.
• Collaborate with product, research, data science, and executive stakeholders to align technology investments with business objectives and long-term product strategy.
• Mentor engineering teams, support talent development initiatives, and lead complex technical programs across globally distributed teams.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; Master’s degree preferred.
• 10+ years of experience in software engineering, solution architecture, and large-scale enterprise platform development.
• Proven expertise designing and delivering distributed, cloud-native systems in complex production environments.
• Strong hands-on programming experience with Python and Java and/or C++.
• Deep knowledge of API design, microservices architectures, event-driven systems, and modern software engineering principles.
• Extensive experience working with AWS cloud services and enterprise-scale cloud infrastructure.
• Strong background in relational databases, including PostgreSQL, MySQL, and SQL Server, as well as NoSQL technologies such as MongoDB, Cassandra, DynamoDB, and Redis.
• Experience designing and implementing vector search solutions and semantic retrieval architectures using technologies such as Pinecone, Weaviate, Milvus, pgvector, Qdrant, or Chroma.
• Hands-on experience building production-grade AI and LLM-powered applications using leading AI platforms and orchestration frameworks.
• Strong understanding of RAG architectures, AI agents, embeddings, knowledge retrieval systems, model evaluation, governance, monitoring, and observability practices.
• Demonstrated success leading enterprise architecture initiatives, mentoring engineering teams, and influencing senior stakeholders.
• Excellent communication, leadership, problem-solving, and stakeholder management skills.
• Ability to balance strategic vision with hands-on execution in dynamic, rapidly evolving environments.

Benefits

• Competitive compensation package aligned with experience and expertise.
• Fully remote work flexibility within the United States.
• Opportunity to lead cutting-edge AI and enterprise technology initiatives with significant business impact.
• Exposure to advanced technologies including LLMs, AI agents, cloud-native platforms, vector databases, and large-scale distributed systems.
• Career growth opportunities within a fast-growing, innovation-focused environment.
• Collaborative culture that encourages continuous learning, experimentation, and technical excellence.
• Access to professional development, leadership opportunities, and challenging global projects.
• Inclusive and diverse workplace committed to equal opportunity and employee success.
• Work alongside highly skilled engineering, product, research, and data science professionals on transformative technology solutions.

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