Contract Type: This is a full-time, direct-hire opportunity with our end client.

Location: Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). (PST-friendly preferred).

Eligibility: U.S. Citizens or Green Card holders only.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments. 

You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights. 

This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments. 

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 
• Integration with Data experience. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): SAP, ServiceNow, Salesforce, Workday, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

What Our Client Offers

• Hybrid model – 3 days onsite per week
• Opportunity to work at the forefront of applied AI engineering
• High-impact, customer-facing technical work with enterprise clients
• Collaborative startup culture with strong growth opportunities
• Contract-to-hire opportunities with potential for long-term growth

Full-Time Employee Benefits

Upon full-time conversion, team members may be eligible for:

• Medical, dental, and vision coverage
• Flexible PTO culture and 11 U.S. federal holidays
• Equity / stock option opportunities with standard 4-year vesting structures

As an early-stage startup, programs and benefits may continue evolving as the company scales.