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Full-time
Posted 61d ago
~40 hrs/week
Remote in Seattle, Washington, United States
Responsibilities
Lead enterprise engagements by designing scalable cloud-native data platforms and advanced AI strategies for clients. Provide technical leadership to global delivery teams and act as the primary technical strategist during sales cycles.
Requirements
Requires over 8 years of experience in client-facing consulting and 7+ years in cloud architecture. Must possess hands-on proficiency in Python, SQL, and modern AI frameworks like LangChain and MCP.
Full job description
OTSI (Object Technology Solutions, Inc) has an immediate opening for an AI & Data Solutions Architect
Location: Seattle (Remote, some travel required)
We are seeking a highly technical,
client-facing AI & Data Solutions Architect to lead enterprise engagements,
drive presales strategy, and facilitate architecture design sessions. You will
serve as a trusted advisor to our clients, architecture complex data
modernization and AI adoption strategies. While this role heavily emphasizes
client interaction, executive presentation, and architectural design, it
requires a strong technical practitioner who is fully capable of engaging in
hands-on development and technical problem-solving to support global delivery
teams and ensure project success.
Key Responsibilities
Strategic Presales &
Solution Architecture: Act as the lead technical strategist during sales
cycles. Partner with Sales to shape deal strategy, facilitate architecture
design sessions with C-suite stakeholders, define solution scope, and
build compelling business and technical narratives.
End-to-End Architecture
Design: Architect scalable, cloud-native software solutions and modern data
platforms (e.g. Microsoft Fabric, Databricks, Snowflake) aligned with
enterprise analytics and AI initiatives.
Delivery Oversight &
Hands-On Execution: Provide technical leadership to global development and data engineering
teams. Serve as the definitive technical escalation point who can
configure systems, develop scripts, or build proofs-of-concept to ensure
the delivery of critical project milestones.
Advanced AI Strategy: Design robust AI/ML
solutions that advance beyond foundational LLM integrations. Guide clients
in implementing Agentic AI workflows, autonomous orchestration, and secure
enterprise integrations utilizing frameworks such as the Model Context
Protocol (MCP).
Governance &
Optimization: Ensure architectural consistency, quality, and strict adherence to
enterprise AI governance and security frameworks throughout the SDLC.
Optimize cloud architectures across Azure, AWS, and GCP to balance
innovation, performance, and cost efficiency.
Research &
Development: Stay up to date with AI/ML technologies, advancements, and trends. Provide
insights to guide internal R&D efforts on company products, tools, and
accelerators outside of client engagements.
Client Engagement: 8+ years in
client-facing presales, consulting, or solution architecture roles. Proven
ability to facilitate executive discussions, translate complex technical
concepts into clear business value, and drive consensus among enterprise
stakeholders.
Executive Presentation: Exceptional white boarding and communication skills. Demonstrated capability to
dynamically design and articulate modern data architectures for both
engineering leadership and business executives.
Global Collaboration: Experience mentoring
development teams and partnering seamlessly across a global delivery model
to ensure the successful hand off, translation, and execution of defined
architectures.
Required Skills: Core Technical Expertise
Cloud & Data
Platforms: 7+ years designing cloud-native architectures (Azure, AWS, or GCP). Deep
architectural knowledge of modern data platforms (preferably Databricks or
Microsoft Fabric) and distributed compute frameworks (Apache Spark).
Applied AI & Machine
Learning: Strong
architectural experience designing AI/ML solutions, vector databases, and
RAG architectures. Expertise in developing Agentic AI systems and workflow
automation utilizing frameworks such as LangChain and the Model Context
Protocol (MCP).
Practitioner Capability: Retained hands-on
engineering proficiency with a strong command of Python and SQL,
alongside experience in highly scalable backend languages like Java or
Go. Fully capable of executing detailed technical work and navigating
the modern SDLC.
AI Productivity &
Infrastructure: Active utilization of AI productivity tools (e.g., GitHub Copilot, Claude)
to accelerate development. Solid understanding of containerization
(Docker, Kubernetes) and CI/CD pipelines to ensure the reliable, scalable
deployment of AI models into production environments.
Enterprise
Integration: Expertise in designing robust data
pipelines, semantic models, and API integrations that seamlessly connect AI
capabilities within complex, legacy enterprise environments (e.g., SAP,
Oracle).
Innovative Solutions: Cutting-edge IT technology and tailored approaches for superior outcomes.
Industry
IT Services and IT Consulting
Company size
1,001-5,000 employees
Founded
1999
Headquarters
Overland Park, KS
LinkedIn followers
50,717
𝐀𝐛𝐨𝐮𝐭 𝐎𝐓𝐒𝐈
Since 1999, OTSI (Object Technology Solutions, Inc.) has been a trusted global partner in IT consulting, technology solutions, and managed services.
We empower enterprises to enhance efficiency, accelerate digital transformation, and unlock growth through innovation.
With 15 offices across 6 countries, a Global Delivery Center in India, and a Nearshore Delivery Center in Costa Rica, OTSI delivers flexible, scalable, and 24/7 support through its Follow-the-Sun delivery model.
🌍 𝐆𝐥𝐨𝐛𝐚𝐥 𝐏𝐫𝐞𝐬𝐞𝐧𝐜𝐞
𝐇𝐞𝐚𝐝𝐪𝐮𝐚𝐫𝐭𝐞𝐫𝐬: Kansas, USA
𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚: California, Idaho, Minnesota, Missouri, Texas, Virginia, Georgia, Washington
𝐋𝐚𝐭𝐢𝐧 𝐀𝐦𝐞𝐫𝐢𝐜𝐚: San José (Costa Rica), Hermosillo (Mexico)
𝐀𝐬𝐢𝐚-𝐏𝐚𝐜𝐢𝐟𝐢𝐜: Hyderabad (Global Delivery Centre), Bangalore, New Delhi, Vijayawada (India), Metro Manila (Philippines)
𝐌𝐢𝐝𝐝𝐥𝐞 𝐄𝐚𝐬𝐭: Dubai (UAE)
𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐎𝐓𝐒𝐈
Trusted by Fortune 500: Proven success with 100+ global clients.
Deep Industry Expertise: Banking, Healthcare, Energy, Manufacturing, Transportation, Telecom, Government & more.
Innovation at Core: Leveraging emerging technologies and tailored approaches for measurable business outcomes.
𝐂𝐨𝐫𝐞 𝐅𝐨𝐜𝐮𝐬 𝐀𝐫𝐞𝐚𝐬
𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Generative & Agentic AI, Data Engineering & Modernization, Visualization & Insights
𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧: Cloud & Microservices, Mobile & IoT, RPA, DevOps
𝐐𝐀 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Comprehensive Testing, Automation, Digital QA
𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Full-Stack Development, SAP, Oracle, Microsoft, Custom Solutions
At OTSI, we combine technology, talent, and trust to deliver customized solutions that drive productivity, innovation, and sustainable growth.
Offices: 6363 College Blvd., Suite 230, Overland Park, KS 66211, US · 100 Chesterfield Business Parkway, Suite 200, Chesterfield, MO 63005, US · 5201 Great America Parkway, Suite 320, Santa Clara, CA 95054, US · Centro Comercial Terrazas Lindora, Piso 3, Oficina 202, San Jose, CR · Phoenix SEZ, Hitech City - 2, Hyderabad, Telangana 500081, IN
Data & AnalyticsDigital TransformationEnterprise Applications ModernizationQA & Test AutomationRobotic Process Automation (RPA)Cloud ServicesMaster Data Management (MDM)Automation Anywhere COEAzureAWS
Based on 3502 listings with disclosed salaries, most software jobs in Washington pay between $120k–$261k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Washington right now?
There are currently 4,022 open software positions in Washington listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Washington?
Companies currently hiring include Amazon, Microsoft, Google, Oracle, Meta, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Washington?
Yes — 1732 of the 4022 open software positions offer remote or hybrid work (417 remote, 1315 hybrid).
How do I apply for Software jobs in Washington?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.