Staff Engineer – AI Platform & Engineering Strategy | Jobs in US

DigitalXNode; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

DigitalXNode is seeking a Staff Engineer to lead engineering strategy, platform modernization, AI-driven software development, and technical execution. This leadership role partners with Product, Executive Leadership, and Engineering teams to build scalable, AI-powered systems while establishing enginefullering best practices, security standards, and long-term technical vision.

You will mentor engineers, manage vendors and internal teams, and own CI/CD pipelines, data migrations, and platform

Qualifications

• Bachelor's degree in CS, software eng, IT or similar.
• 5–7 years of software engineering experience required.
• Proven track record delivering AI-enabled software products.
• Experience leading engineering strategy and platform development.

Responsibilities

• Lead engineering strategy and technical roadmap execution.
• Drive platform modernization and large-scale system migration.
• Build scalable, secure, and highly available software architecture.
• Implement AI-powered development workflows across the SDLC.
• Design and maintain CI/CD pipelines, monitoring, and deployment processes.
• Lead data migration, architecture redesign, and platform integrations.
• Establish engineering standards, code quality, testing, and documentation.
• Own privacy, security, governance, and compliance initiatives.
• Collaborate with Product Leadership to translate business goals into engineering deliverables.
• Mentor engineers and foster a high-performance engineering culture.
• Manage engineering vendors, contractors, and internal development teams.
• Ensure AI-powered products meet safety, privacy, and quality standards.

Skills

Full Stack Development

Backend Development

AI Engineering

Large Language Models

Airtable

System Architecture

Cloud Infrastructure

CI/CD

Software Design

API Development

Database Design

DevOps Practices

Security Best Practices

Technical Leadership

Agile Methodologies

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related

5–7 years of software engineering experience

Experience leading engineering strategy and platform development

Proven experience delivering AI-enabled software products

Startup or high-growth technology experience

EdTech experience (added advantage)

AWS Certified Solutions Architect

Google Professional Cloud Architect

Microsoft Azure Solutions Architect

Certified Kubernetes Administrator (CKA)

AI/ML or Cloud Engineering Certifications (Preferred)

Job description

Company Overview

We are a leading talent acquisition and staff augmentation company with a strong global presence, connecting businesses with top technology professionals across diverse industries. Headquartered in Delhi, India, we specialize in IT recruitment, executive search, workforce solutions, and project-based hiring for client USA. We are currently hiring on behalf of one of our international clients for a Staff Engineer who will play a key role in driving engineering excellence, platform innovation, and AI-powered software development.

Job Summary

We are seeking an experienced Staff Engineer to lead engineering strategy, platform modernization, AI-driven software development, and technical execution. This leadership role partners closely with Product, Executive Leadership, and Engineering teams to build scalable, AI-powered systems while establishing enginefullering best practices, security standards, and long-term technical vision.

Key Responsibilities

• Lead engineering strategy and technical roadmap execution.
• Drive platform modernization and large-scale system migration.
• Build scalable, secure, and highly available software architecture.
• Implement AI-powered development workflows across the SDLC.
• Design and maintain CI/CD pipelines, monitoring, and deployment processes.
• Lead data migration, architecture redesign, and platform integrations.
• Establish engineering standards, code quality, testing, and documentation.
• Own privacy, security, governance, and compliance initiatives.
• Collaborate with Product Leadership to transform business goals into engineering deliverables.
• Mentor engineers and foster a high-performance engineering culture.
• Manage engineering vendors, contractors, and internal development teams.
• Ensure AI-powered products meet safety, privacy, and quality standards.

Required Skills

• Full Stack Development
• Backend Development
• AI Engineering
• Large Language Models (LLMs)
• Airtable
• System Architecture
• Cloud Infrastructure
• CI/CD
• Software Design
• API Development
• Database Design
• DevOps Practices
• Security Best Practices
• Technical Leadership
• Agile Methodologies

AI Experience

• Experience working with Machine Learning systems and AI-powered applications.
• Hands-on experience building AI-first production systems.
• Experience implementing AI-assisted software development workflows.
• Knowledge of Generative AI development tools.
• Experience integrating AI into engineering processes.
• Familiarity with AI evaluation, monitoring, and testing.
• Understanding of AI governance, safety, and privacy.

Managerial Experience

• Lead and mentor engineering teams.
• Manage full-time engineers, contractors, and vendors.
• Define engineering processes and delivery standards.
• Collaborate with executive leadership on technical strategy.
• Drive cross-functional execution across Product, Engineering, and Operations.
• Build a culture of accountability, ownership, and innovation.

Operational Experience

• Platform modernization and migration.
• Engineering operations and release management.
• Monitoring, logging, and incident response.
• Security implementation and governance.
• Performance optimization.
• Infrastructure scalability.
• Data governance and lifecycle management.
• Risk management and engineering reporting.
• National-scale application architecture.

Education & Certifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• 5–7 years of software engineering experience.
• Experience leading engineering strategy and platform development.
• Proven experience delivering AI-enabled software products.
• Startup or high-growth technology experience preferred.
• EdTech experience is an added advantage.
• AWS Certified Solutions Architect
• Google Professional Cloud Architect
• Microsoft Azure Solutions Architect
• Certified Kubernetes Administrator (CKA)
• AI/ML or Cloud Engineering Certifications (Preferred)