Lead Software- solutions Architect [Remote]

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.

Accountabilities

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.