Head Forward Deployed Engineer Job at LGT Gruppe Holding AG (Zurich)

Head of Forward Deployed Engineering

As Head of Forward Deployed Engineering, you’ll build and lead the team that sit...

Location

United States , San Francisco

Salary:

250000.00 - 400000.00 USD / Year

Serval

Expiration Date

Until further notice

Requirements

7–10+ years of software engineering experience
3+ years leading technical or customer-facing teams
Proven track record of building and scaling Forward Deployed / Software Engineering teams in a fast-paced SaaS or AI environment
Strong technical foundation — capable of reading and writing production code, building APIs, and debugging distributed systems
Experience working directly with enterprise customers on deployments, integrations, and architecture design
Excellent communication skills — able to translate between technical and executive audiences
Builder’s mindset: thrives in ambiguity, moves fast, and creates process where none exists
Deep customer empathy and the ability to balance short-term needs with long-term platform evolution
Based in or willing to work from our SF HQ, 5 days/week, with occasional travel to customers

Job Responsibility

Build and lead the Forward Deployed Engineering function, defining its charter, processes, and hiring plan
Own customer implementations and pilots, ensuring rapid, reliable value delivery for strategic accounts
Write production-quality code to extend Serval’s platform, integrate APIs, and solve unique customer challenges
Develop reusable onboarding frameworks, turning bespoke deployments into repeatable, scalable patterns
Partner with Product & Engineering to translate field learnings into roadmap priorities and platform improvements
Act as a trusted advisor to customers’ IT and Security leaders, guiding them through automation design and rollout
Drive technical strategy for migrations, integrations, and long-term account success
Recruit, mentor, and develop a world-class team of forward deployed engineers who embody Serval’s pace and precision
Establish metrics and systems to track deployment velocity, adoption, and satisfaction across accounts

What we offer

Offers Equity
comprehensive health coverage
flexible PTO
daily lunches and snacks
onsite gym access
regular team events and offsites

Fulltime

Principal Forward Deployed Architect

The Forward Deployed Architect (FDA) is a trusted transformation architect who c...

Location

United States , San Francisco

Salary:

163800.00 - 257325.00 USD / Year

The Muse

Expiration Date

Until further notice

Requirements

812+ years in customer-facing technical, advisory, consulting, or transformation roles
A track record of owning and delivering end-to-end transformations at Fortune 1000, large regulated, or public sector customers not only scoping them
Executive presence and exceptional written communication
able to produce a memo, ADR, or design doc that stands up to executive review
Strong workflow and systems thinking, including the ability to map complex processes and design scalable ways of working across business functions
Comfort with enterprise architecture concepts: cloud-native design, integration patterns, identity, security, and data
Ability to prototype, debug, and read code in at least one of: Java/Kotlin, TypeScript/Node, Python
Cross-functional credibility with IT, PMO, HR, Finance, and senior business stakeholders
Willingness to travel up to 50% and operate across customer time zones

Job Responsibility

Design the customer's System of Work across functions using Jira, Confluence, Rovo, and the broader Atlassian platform
Lead process and workflow transformation from current state to future state, including operating model design, Center of Excellence structures, RACI, governance, and platform team design
Expand Atlassian beyond the development buyer into HR, Finance, Marketing, PMO, Operations, and other business teams through cross-functional workflow design
Drive AI adoption for knowledge workers through practical, workflow-based use cases embedded into daily work
Support adoption through change management, enablement, and success metrics
Own and evolve the System of Work blueprint based on outcomes, feedback, and usage data
Own the target-state architecture for strategic enterprise customers across the Atlassian System of Work Plans, Goals, Work, Knowledge, Code, and AI (Rovo, Teamwork Graph, Atlassian Intelligence)
Design across the full stack: multi-tenant SaaS, identity & SSO (SAML/OIDC/SCIM), data residency, integration patterns (REST/GraphQL/event-driven), Forge & Connect app strategy, Marketplace ecosystem, and migration paths (Server/DC → Cloud, Cloud-to-Cloud)
Co-design AI-native workflows Rovo agents, knowledge grounding, Teamwork Graph enrichment, AI governance, and human-in-the-loop patterns
Ship durable artifacts reference architectures, ADRs, Forge prototypes, Terraform/IaC modules, Compass scorecards, automation rule libraries that survive past the engagement

What we offer

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short-Term Disability
Long-Term Disability
FSA
HSA With Employer Contribution
Fitness Subsidies
Mental Health Benefits

Principal Solutions Engineer, Enterprise

Scale plays a critical role in powering the next generation of AI applications a...

Location

United States , New York, NY; San Francisco, CA

Salary:

180000.00 - 225000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
Exceptional communication skills, with the ability to translate between business, product, and technical audiences
High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments

Job Responsibility

Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend (potentially eligible)

Fulltime

Director, Predictive Analytics and AI

Join Takeda as a Director, Predictive Analytics and AI out of our Cambridge, MA ...

Location

United States , Cambridge

Salary:

177000.00 - 278080.00 USD / Year

BioLife Plasma Services

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, Economics or a related field required
10+ years of hands-on experience in AI/ML modeling, with at least 5 years in pharmaceutical commercial analytics required
Prior people management experience required
Strong technical expertise in machine learning, NLP, and recommendation systems
Experience with pharma data (e.g., IQVIA, Veeva, SP & claims) and strong understanding of compliance and privacy considerations
Proficiency in Artificial Intelligence, with demonstrated expertise in establishing GenAI (Generative AI) and Agentic AI methodologies and solutions
Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP)
Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
Strong project management skills, with the ability to manage multiple projects simultaneously

Job Responsibility

Advance Data Science and AI capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations
Advance Predictive Analytics for US. GI, NS, PDT, and Rare Disease Franchises, including new product launches or indications
Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use cases and integrate predictive model-driven decisioning into business decisions
Strategic Leadership: Develop and execute a future-oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges
Predictive Modeling & AI Innovation: Design and deploy predictive models—including logistic regression, ensemble methods, and other machine learning algorithms—for key applications such as trialist identification, patient segmentation, next-best-action (NBA), and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events, identify undiagnosed / misdiagnosed patients to drive targeted HCP engagements. Create scalable, reusable frameworks for AI and machine learning experimentation and deployment across multiple therapeutic areas
Cross-Functional Partnership: Collaborate as a key thought partner with cross-functional teams—including Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs—to drive business impact. Develop creative strategies to ensemble multiple third-party patient data sets, enhancing coverage and precision in patient identification and predictive segmentations
Mentor and develop talent: Cultivate a high-performing team of data scientists by promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence. Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing
GenAI and Agentic AI Initiatives: Establish and lead GenAI and Agentic AI initiatives that are strategically aligned with CA&I goals. Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies
Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic and AI models providing continuous insights into execution optimization, and industry developments
Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads - leading data science driven discussions and translating business needs into appropriate predictive modeling strategies

What we offer

short-term and/ or long-term incentives
medical, dental, vision insurance
401(k) plan and company match
short-term and long-term disability coverage
basic life insurance
tuition reimbursement program
paid volunteer time off
company holidays
well-being benefits
up to 80 hours of sick time per calendar year

Fulltime

Ai Deployment Strategist, Healthcare & Life Sciences

At Scale, we believe AI will dramatically improve the world, and our mission is ...

Location

United States , San Francisco, CA; New York, NY

Salary:

192800.00 - 241000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years experience in management consulting, business operations, or other highly strategic, analytical and operational roles within a rapidly growing company
experience in healthcare, life sciences, or another regulated industry is strongly preferred
Comfort operating in regulated, data-sensitive technical environments, with awareness of data privacy and compliance requirements
Ability to build credibility and trusted relationships with clinical and/or scientific stakeholders
Strong executive communication skills – able to synthesize complex details into accessible and precise insights
Demonstrated ability to lead AI projects with technical and business team members, driving to high-quality insights and deliverables amidst ambiguity and tight timelines
Excellent qualitative and quantitative analytical skills
Ability to prioritize effectively and manage multiple work streams in a fast-paced environment
A strong orientation towards outcomes, and a willingness to roll up your sleeves to get the job done
A proven ability to work and build relationships with a wide range of people, and influence cross-functionally without direct authority

Job Responsibility

Partner with Head of Solutions Delivery, VP/GM of Enterprise AI, and other leaders to design and deploy the highest priority AI solutions for the world’s largest and most well known enterprises
Own and grow a strategic healthcare or life sciences account, expanding the relationship across new workstreams, and help establish new accounts across health systems and life sciences organizations
Own outcomes and delivery across multiple concurrent workstreams and day-to-day relationships with senior customer stakeholders
Work cross-functionally with world-class ML engineers, forward deployed engineers and Go-To-Market team
Act as a thought partner to Enterprise AI business unit leadership, proactively identifying opportunities to shape our product roadmap, business development priorities, and internal operations

What we offer

comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend

Fulltime

Splunk Development & Administration Cyber Security Analyst

The ideal candidate will work primarily on Splunk Administration (L2 Support) ho...

Location

India , Chennai

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Implement and manage Splunk applications and add-ons version upgrades and lifecycle management
Perform data onboarding, parsing, normalization, and STIX-based input/output integration for security and compliance use cases
Design, develop, optimize, and troubleshoot Splunk dashboards, searches, alerts, and reports
Manage and optimize Splunk configurations including inputs.conf, props.conf, transforms.conf, and other deployment configurations
Monitor and maintain Splunk infrastructure components such as Indexers, Search Heads, Forwarders, and Cluster environments
Investigate incidents, perform root cause analysis (RCA), resolve operational issues independently
Execute controlled deployments of Splunk apps, add-ons, knowledge objects, and configuration changes across environments
Collaborate with application teams, data owners, and analysts for onboarding, validation, troubleshooting, and optimization of log sources
Configure and support integrations with enterprise platforms including ServiceNow, AWS, Azure, GCP, DB Connect, ITSI, Akamai, ServiceNow, Okta Identity
Handle user provisioning, RBAC access management, and security governance within Splunk environments

Job Responsibility

Implement and manage Splunk applications and add-ons version upgrades and lifecycle management
Perform data onboarding, parsing, normalization, and STIX-based input/output integration
Design, develop, optimize, and troubleshoot Splunk dashboards, searches, alerts, and reports
Manage and optimize Splunk configurations
Monitor and maintain Splunk infrastructure components
Investigate incidents, perform root cause analysis (RCA), resolve operational issues
Execute controlled deployments of Splunk apps, add-ons, knowledge objects
Collaborate with application teams, data owners, and analysts
Configure and support integrations with enterprise platforms
Handle user provisioning, RBAC access management, and security governance

What we offer

Inclusive and respectful work environment
All positions are open to people with disabilities

Fulltime

Information System Security Engineer - Senior

In support of a challenging, critical, and rewarding program that provides integ...

Location

United States , San Antonio

Salary:

160000.00 - 175000.00 USD / Year

Amentum

Expiration Date

Until further notice

Requirements

Must have active Top-Secret clearance with SCI or TS with the ability to acquire SCI
Experience in Splunk role while working in a Splunk Clustered Environment
Knowledge and experience with NESSUS/ACAS and Trellix administration
Must be able to work a 40-hour work week, normally Monday through Friday
Ability to work overtime during critical peaks and be available to meet last-minute requests for overtime if needed
Ability to travel (5-10%) primarily within 75 miles
Familiarity with MS Office applications such as Excel, Word, Outlook, SharePoint, Project, and Visio
Exceptional attention to detail
excellent verbal and written communication skills
strong critical thinking, organizational, time-management, and problem-solving skills

Job Responsibility

Experience creating custom dashboards, writing queries, building, and generating reports, and setting up alerts and notifications using all the Cyber tools (Splunk, Tenable, Trellix)
Demonstrated proficiency with recognizing and onboarding new data sources into the cyber tools and analyzing the data for anomalies and trends
Primarily responsible for maintaining the test and operational environments to include all cybersecurity tool sets and collaborating with systems and network engineers
Use knowledge, skills, and ability to conduct research for designing, integrating, and implementing security controls into current and future products/systems thus ensuring these systems can be accredited based on compliance with the Joint Special Access Program Implementation Guide (JSIG)
Recommend the components to implement system security requirements using intimate knowledge of security design best practices for information systems throughout the system development life cycle to support the generation of security engineering products
Assist with the design, deployment, and administration of a multi-site, distributed Splunk environment including Multi-site Clustering, Search Head Clustering, Universal Forwarders, Deployer, and Deployment Server
Configure, operate, and maintain Trellix and its components (ePolicy Orchestrator, Trellix Agent, Data Loss Prevention, Host Intrusion Prevention System, Policy Auditor, Asset Baseline Monitor, and Virus Scan Enterprise) on Windows and Linux creating exceptions to allow essential processes to continue uninterrupted
Administration/operation of information security compliance tools/platforms with a special concentration in managing Tenable Security Center and NESSUS
Provide Tier 1, 2, and 3 maintenance support for deployed cyber security technologies
Assist with periodic and regular security assessments

What we offer

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Fulltime

Head of Applied AI & Agent Factory - Managing Director

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive leadership experience, including senior roles building and scaling delivery organizations - consulting partnerships, Forward Deployed Engineering / solutions engineering teams, or comparable in-business technology delivery functions inside complex firms.
Builder-operator profile — has personally stood up and scaled delivery organizations from a small core to hundreds of practitioners, ideally inside or alongside large, regulated businesses.
Deep current expertise in modern AI - agentic systems, LLM-based applications, AI evaluation and certification, and the practical realities of getting AI agents adopted in production enterprise environments.
Strong commercial and storytelling skills - credible peer to business COOs and CEOs
able to co-design process redesigns and to sell the change rather than impose it.
Bias to action, ruthlessly outcome-focused - relentless on real adoption, usage, and business impact rather than activity metrics
comfortable killing projects that aren't landing.
Cross-functional influencer - proven ability to operate in a matrixed environment across product, platform, controls, and business stakeholders without direct authority over all of them.
Strong financial acumen - fluent in business cases, ROI realization, and the commercial drivers of a complex global firm.
Risk & Compliance awareness - understands controls, model risk, and regulatory expectations as they apply to AI agents in global banking.

Job Responsibility

Operate the Agent Factory: an industrialized capability for the design, build, evaluation, and certification of enterprise AI agents at Citi scale.
Define and continuously evolve the firm's standards, patterns, and reference implementations for enterprise agents in close partnership with the Head of Core AI Platform (who provides the agentic runtime, guardrails, and evals) and the Head of Responsible AI (who owns approval and controls).
Own the official enterprise agent catalog - the curated, certified set of agents that Citi formally sanctions for production use across the firm - including lifecycle management, versioning, and decommissioning.
Build and lead a cadre of Applied AI engineers embedded directly into business lines, partnering with business COOs and process owners to design, deliver, and scale AI agents inside real workflows.
Co-design agent-led process redesigns with business COOs - moving beyond point automations to the redesign of end-to-end business processes around AI agents.
Operate a deliberate 'delivery-to-platform' feedback loop: ensure reusable assets, patterns, and components emerging from business-specific work are fed back into the Core AI Platform and Enterprise AI Solutions portfolio rather than re-built.
Partner with the Head of Enterprise AI Solutions to graduate high-leverage, repeatedly built business solutions into productized, horizontal capabilities.

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

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Head Forward Deployed Engineer

Job Responsibility

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